Python Developer Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client s time zone. Our client is a fast-growing legal technology company focused on building AI-powered SaaS platforms for the legal industry. Their flagship platform is designed to streamline and automate the full lifecycle of bankruptcy case management, including lead generation, client intake, document collection, legal workflows, communication, accounting, and post-filing processes. As the organization continues expanding its portfolio of AI-driven legal technology products, they are seeking a highly skilled Senior AI Full-Stack Product Engineer to help build, improve, and scale innovative software solutions that support law firms and drive long-term product growth. Role Overview The Senior AI Full-Stack Product Engineer will work directly alongside leadership to build and scale AI-powered SaaS products for the legal industry. The Senior AI Full-Stack Product Engineer will translate concepts, workflows, mockups, storyboards, and AI-generated prototypes into fully functional, production-ready systems while contributing to architecture, scalability, automation, and user experience. This role is ideal for a highly technical, product-minded builder who thrives in fast-moving startup environments and can rapidly iterate while maintaining strong attention to reliability, maintainability, and performance. Location Fully Remote | 9AM - 5 PM EST Key Responsibilities AI SaaS Product Development Build and improve AI-powered SaaS applications and internal platforms. Translate leadership concepts, workflows, and storyboards into functional product features. Replicate and enhance workflows created through AI-assisted development tools such as Claude and Bolt. Rapidly prototype, test, and iterate on new product functionality. Contribute to the continuous improvement and scalability of AI-powered legal technology platforms. AI &amp; Workflow Systems Implement AI-powered workflows and automation features using modern LLM technologies. Optimize AI prompts, logic flows, and automation reliability. Support AI-assisted document processing, communication workflows, and operational systems. Continuously identify opportunities to improve efficiency through AI and automation. Improve workflow effectiveness through ongoing optimization and refinement. Full-Stack Engineering Develop and maintain frontend and backend systems across multiple legal technology products. Build dashboards, workflows, automations, client portals, and internal tools. Implement scalable application architecture and clean development practices. Troubleshoot bugs, optimize performance, and improve platform reliability. Support long-term maintainability, scalability, and user experience improvements. API Integrations &amp; Automation Integrate third-party APIs and external services into platform environments. Build and maintain integrations with tools such as Twilio, SendGrid, Google Meet, BoldSign, and similar platforms. Implement complex business logic and workflow automation across multiple systems. Ensure reliable data flow, authentication, and API functionality. Maintain and improve integrations as business and product requirements evolve. Collaboration &amp; Product Execution Work directly with leadership during product reviews, planning sessions, and feature discussions. Participate in Zoom and Google Meet working sessions to review functionality and implementation progress. Operate with a high level of ownership, autonomy, and accountability. Contribute technical recommendations and product improvement ideas. Support product initiatives from concept through deployment and ongoing enhancement. Qualifications Experience 4+ years of experience in full-stack software development. Strong experience building SaaS products and web applications. Experience working in startup or fast-paced product environments. Hands-on experience implementing APIs and automation systems. Experience with AI-assisted development tools and modern AI workflows is strongly preferred. Experience developing and maintaining scalable software platforms. Experience working with cloud infrastructure and deployments. Experience building integrations between internal systems and third-party services. Qualifications Skills Strong full-stack development capabilities. Experience with modern frontend frameworks such as React and Next.js. Experience with backend technologies such as Node.js, Python, Express, or FastAPI. Experience working with cloud infrastructure and deployments, preferably AWS. Experience with databases such as PostgreSQL, Firebase, Supabase, or MongoDB. Strong understanding of REST APIs, webhooks, and system integrations. Familiarity with AI APIs such as OpenAI APIs or Claude APIs. Highly resourceful and solution-oriented mindset. Comfortable operating in ambiguity and rapidly evolving startup environments. Product-minded approach with the ability to think beyond implementation. Ability to move quickly while maintaining strong attention to detail. Excitement for building innovative AI-driven products from the ground up. What Success Looks Like Leadership concepts and prototypes are successfully translated into functional product features. Scalable and reliable SaaS functionality is delivered across multiple legal technology products. AI-powered workflows and integrations are rapidly deployed and continuously improved. Product execution remains efficient through strong collaboration, ownership, and accountability. High-quality, production-ready solutions are delivered with minimal oversight. Platform performance, reliability, scalability, and user experience continue to improve over time. Opportunity This is an opportunity to work directly alongside leadership while helping build and scale cutting-edge AI-powered legal technology products with significant long-term growth potential. The Senior AI Full-Stack Product Engineer will play a critical role in shaping multiple SaaS platforms designed for law firms, helping drive innovation across legal workflows, document management, communication systems, automation, and operational processes. This role offers meaningful ownership, direct influence on product direction, and the opportunity to contribute to transformative technology within a rapidly growing legal technology environment. Application Process: To be considered for this role these steps need to be followed: Fill in the application form Record a video showcasing your skill sets</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years of experience in full-stack software development.</li><li>Strong experience building SaaS products and web applications.</li><li>Experience working in startup or fast-paced product environments.</li><li>Hands-on experience implementing APIs and automation systems.</li><li>Experience with AI-assisted development tools and modern AI workflows is strongly preferred.</li><li>Experience developing and maintaining scalable software platforms.</li><li>Experience working with cloud infrastructure and deployments.</li><li>Experience building integrations between internal systems and third-party services.</li><li>Strong full-stack development capabilities.</li><li>Experience with modern frontend frameworks such as React and Next.js.</li><li>Experience with backend technologies such as Node.js, Python, Express, or FastAPI.</li><li>Experience working with cloud infrastructure and deployments, preferably AWS.</li><li>Experience with databases such as PostgreSQL, Firebase, Supabase, or MongoDB.</li><li>Strong understanding of REST APIs, webhooks, and system integrations.</li><li>Familiarity with AI APIs such as OpenAI APIs or Claude APIs.</li><li>Highly resourceful and solution-oriented mindset.</li><li>Comfortable operating in ambiguity and rapidly evolving startup environments.</li><li>Product-minded approach with the ability to think beyond implementation.</li><li>Ability to move quickly while maintaining strong attention to detail.</li><li>Excitement for building innovative AI-driven products from the ground up.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI &amp; Machine Learning" with below roles and responsibilities: Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Education &amp; Experience</h2><p>10+ years of professional experience, including 7+ years in Data Science, Machine Learning &amp; MLOps</p><p>MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline. PhD is preferred, in related field.</p><p>Experience mentoring, coaching, or leading technical team members.</p><h2>Data Science &amp; Machine Learning</h2><p>Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</p><p>Experience with Deep Learning concepts and frameworks.</p><p>Extensive hands-on experience with Python and the Data Science ecosystem.</p><p>Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</p><p>Experience conducting research, experimentation, and hypothesis-driven analysis.</p><h2>MLOps &amp; Production AI</h2><p>Experience deploying and managing Machine Learning models in production environments.</p><p>Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</p><p>Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</p><p>Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</p><p>Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</p><p>Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</p><h2>Generative AI &amp; Agentic AI</h2><p>Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</p><p>Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</p><p>Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</p><p>Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</p><p>Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</p><p>Strong understanding of prompt engineering techniques and LLM optimization.</p><p>Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</p><p>Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</p><h2>Nice to Have:</h2><h3>Advanced AI &amp; Data Science</h3><ul><li>Reinforcement Learning (RL)</li><li>Optimization techniques, including single-objective and multi-objective optimization</li><li>Stochastic Local Search methods</li><li>Knowledge Graphs and Graph Machine Learning.</li></ul><h3>Cloud &amp; Data Engineering</h3><ul><li>Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>Experience with Databricks and Apache Spark.</li><li>Experience with distributed data processing architectures.</li></ul><h3>Leadership &amp; Consulting</h3><ul><li>Experience leading AI initiatives and technical strategy.</li><li>Experience working directly with international clients and stakeholders.</li><li>Experience defining AI architecture, standards, and best practices across teams.</li></ul><p></p></section>

What You’ll Do • What the role is about: As a Principal/Staff Data Scientist , you will serveas a senior individual contributor responsible for defining analytical approaches,scoping complex data science projects, and delivering high-impact solutions acrossmultiple industries. You will tackle highly complex and ambiguous problems,architect end-to-end data science workflows, and provide deep technical guidanceto cross-functional teams—without direct people management responsibilities.• What impact this role has: Your expertise will shape the technical direction of datascience initiatives, influence solution design across teams, and help internal andexternal stakeholders make well-informed decisions. By leveraging advancedmodeling, statistical rigor, and deep domain insight, you will ensure thdelivers scalable, high-quality analytical solutions that drive measurable businessvalue for our clients.• What success might look like: Success in this role means independently leadingthe most challenging parts of data science engagements, producing reliable andscalable solutions, and serving as a trusted technical advisor to product managers,engineers, and business stakeholders. You will be recognized for your ability totranslate complex business problems into well-scoped analytical strategies, and forconsistently raising the technical bar across the team. Who You’ll Work With • An outline of the team: You will be part of a collaborative and dynamic data scienceteam that works closely with data engineers, project managers, solution architects,and business stakeholders. You will contribute as a high-level technical expert,helping teams navigate complexity and ensuring that analytical solutions are sound,scalable, and aligned with business needs.• The role and the team play : The data science team plays acrucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusablemethodologies, and help shape best practices for developing advanced analyticalsolutions across multiple engagements.• Who the position reports to: This position reports to the Data Science Team Manager. What Makes You a Qualified Candidate / Non-negotiable qualification: <br>• Minimum of 4 to 8 years of experience in data science, machine learning, or appliedanalytics.• Expertise in programming languages such as Python and SQL.• Strong understanding of advanced statistical methods, machine learning, deeplearning, and Gen AI techniques.• Proven ability to scope, architect, and technically lead complex data scienceprojects without direct management responsibilities.• Excellent communication and presentation skills, with the ability to engage bothtechnical and non-technical audiences. What You’ll Bring • Advanced Data Analysis and Modeling: Perform highly complex data analysis andbuild sophisticated predictive and prescriptive models using advanced statistical,machine learning, and deep learning techniques.• Technical Leadership: Define analytical approaches, scope data sciencecomponents in partnership with PMs, and lead the technical direction of projectsacross multiple industries.• Cross-Functional Collaboration: Work closely with data engineers, productmanagers, and business stakeholders to align on requirements, solution direction,and implementation plans.• Data Exploration: Explore large and diverse datasets to uncover insights, evaluatefeasibility, and guide model and feature design.• Model Deployment: Collaborate with engineering teams to implement, optimize,and maintain machine learning models in production environments, ensuringscalability, performance, and reliability.• Mentorship: Provide informal technical mentoring, conduct deep code/modelreviews, and guide other data scientists in best practices—without direct peoplemanagement.• Communication: Present complex findings, trade-offs, and solution paths totechnical teams, business partners, and customer stakeholders in a clear andconcise manner.• Continuous Improvement: Stay current with emerging data science, machinelearning, and Gen AI advancements, applying new techniques to enhance solutionquality and accelerate delivery.

Established in 2008, Geidea epitomises customer focused empowerment and commercial success through continuous innovation. Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative & entrepreneurial talent in the market. Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity. Our technology mirrors our people - Smart, Innovative & Forward Thinkingwww.geidea.net<br>To maintain competitive advantage as we grow, we are currently looking for a new Dev Ops Team Leader:<br>Job purpose:<br>The Dev Ops Team Leader is responsible for leading the Dev Ops team in designing, implementing, and maintaining scalable, secure, and highly available infrastructure and CI/CD pipelines. The role focuses on automation, cloud infrastructure management, system reliability, and collaboration between development and operations teams to ensure efficient software delivery and operational excellence.<br>Key accountabilities and decision ownership:Leadership & Team Management Lead and mentor the Dev Ops team and manage day-to-day operational activities. Define Dev Ops best practices and ensure adherence to operational standards. Coordinate with development, QA, security, and infrastructure teams. Manage incident response and post-incident reviews. Drive continuous improvement initiatives across deployment and infrastructure processes.<br>Infrastructure & Cloud Management Design, implement, and maintain cloud infrastructure using platforms such as Amazon Web Services. Ensure high availability, scalability, and performance of production systems. Manage containerized environments using Kubernetes and Docker. Oversee infrastructure as code (IaC) using tools like Terraform.<br>CI/CD & Automation Design and maintain CI/CD pipelines using tools such as Jenkins, Git Lab CI, or Git Hub Actions. Automate infrastructure provisioning, deployment, and monitoring processes. Improve deployment frequency while maintaining system stability.<br>Monitoring & Reliability Implement monitoring and alerting solutions using platforms like Grafana, Prometheus, and New Relic. Ensure system performance, availability, and incident response readiness. Develop dashboards and proactive alerts for critical systems.<br>Security & Compliance Implement Dev Sec Ops practices across CI/CD pipelines. Manage secrets and access controls using tools such as Hashi Corp Vault. Ensure infrastructure and applications comply with security standards and best practices.<br>Requirements Technical Skills Strong experience with cloud platforms, preferably Amazon Web Services. Expertise in containerization technologies such as Docker and orchestration using Kubernetes. Experience with infrastructure as code using Terraform or similar tools. Hands-on experience with CI/CD tools such as Jenkins or Git Lab CI. Experience with monitoring and observability tools like Grafana and New Relic. Strong knowledge of Linux systems and scripting languages (Bash, Python).<br>Soft Skills Strong leadership and team management abilities. Excellent problem-solving and analytical skills. Ability to manage incidents and high-pressure production environments. Strong communication and collaboration skills.<br><br>Our values guide how we think and act - They describe what we care about the most Customer first - It’s embedded in our design thinking and customer service approach Open - Openness allows us to constantly improve and evolve Real - No jargon and no excuses! Bold - Constantly challenging ourselves and our way of thinking Resilient – If we fail, we bounce back stronger than before Collaborative - We know that we can achieve a lot more as a team We are changing lives by constantly striving for a better solution Click apply below and become part of the Geidea story

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Join Us</b> <br></span><p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p><br><br><br><b>Role Purpose</b> <br><p>Planning &amp; Design for VF-EG transport network to ensure best network quality and best customer experience.</p><br><br><br><b>Key Accountabilities &amp; Decision Ownership</b> <br><ul> <li>Managing rollout &amp; integration of backhaul IP nodes from both technical &amp; Management perspectives</li> <li>Preparing scripts &amp;Managing IP configurations/migrations over Backhaul Routers while ensuring best customer experience &amp; resilience</li> <li>Manage &amp; align all project activities across different stakeholders inside &amp; outside Vodafone</li> <li>Responsible for building &amp; maintaining Project plans for assigned projects along with reporting both progress &amp; challenges</li> <li>Monitor transmission stock and hardware release from TX warehouse</li> <li>Responsible for managing penetration of the IP/MPLS in the backhaul network</li> <li>Catering for the transmission capacity needed for the anticipated traffic growth according to VFE key priorities and strategy (leading in voice &amp; data)</li> <li>Responsible for automation of IP scripts needed for new projects</li> <li>Rollout for new technologies and solutions to be introduced within VFEG transport domain</li> </ul><br><br><b>Core Competencies, Knowledge, and Experience</b> <br><ul> <li>Minimum of 2 years; post qualification experience in the Transmission and IP field (Preferable in Backhaul Domain)</li> <li>Strong knowledge of the IP MW, IP/MPLS/Ethernet technologies</li> <li>Good knowledge &amp; experience in python/other programming languages</li> <li>Good knowledge &amp; experience in SDN and other related technologies is a plus</li> <li>Full awareness with the Transport products and vendors</li> <li>MS Office (Word, Excel, Power Point &amp; Access)</li> <li>Stakeholder management capabilities</li> <li>Good interpersonal &amp; communication skills</li> <li>Self-motivated and high time management ability.</li> <li>Creative thinking to provide out of the box solution</li> <li>Ability to work well under pressure.</li> <li>Ability to learn and self-study</li> </ul> <p><strong>Must have technical / professional qualifications:</strong></p><br> <ul> <li>BSC. in Electrical Engineering majoring in Communication and Electronic Engineering</li> <li>Certifications in IP such as CCNA and CCNP or equivalent is a Must</li> </ul><br><br><b>Who we are</b> <br><p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><br> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><br> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><br> <p>Together we can.</p><br><br><br><br> </div>

Job Summary:We are seeking a Data Governance Engineer to join our UAE Technology Offshoring Team. The Ideal candidate will be responsible for the below:<br>Data Modeling with a strong understanding of data warehouse (DWH) concepts, data issues’ validation, and data mesh architecture and Star Schema<br>The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.<br>They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.<br>Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.<br>The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.<br>Key Responsibilities:1. Data Modelling Management:Implement and maintain data governance frameworks, policies, and standards. Ensure high-quality data management across DWH models and data sources. Develop and execute data quality rules, validation processes, and monitoring frameworks. Identify and resolve data quality issues in collaboration with business and operation teams. Work with data quality tools to automate data validation and cleansing processes.2. Data Warehouse (DWH) & Data Modeling:Support the design and governance of data warehouse (DWH) models based on business requirements. Ensure data consistency and integrity across structured and semi-structured datasets. Collaborate with data architects and engineers to optimize DWH performance. Work with Data Mesh architecture to enable decentralized data ownership and governance.3. Cloud & Data Engineering Concepts:Utilize Databricks for Quality & Analytics. Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines. Support the development and governance of data pipelines using tools like Databricks or Apache Spark. Implement data lineage tracking to ensure data transparency and traceability across pipelines.4. Data Privacy & Compliance:Identification, classification, and protection of PII and sensitive data. Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies. Maintain data lineage and governance documentation.5. Agile & Squad-Based Collaboration:Work in an agile environment using the squad model. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders. Participate in sprint planning, backlog grooming, and agile ceremonies.6. Communication & Cross-Cultural Collaboration:Work with teams across different cultures and nationalities to align data governance strategies. Clearly communicate technical and governance concepts to both technical and non-technical stakeholders. Facilitate discussions, workshops, and training sessions to promote data governance best practices.<br>Required Skills & Qualifications:Experience in data governance, data quality, and data modeling Technical Expertise:Strong knowledge of data governance frameworks and data quality management. Experience with data warehouse (DWH) concepts and Data Mesh architecture. Knowledge of SQL, Python, or Spark Hand-on experience in IBM Tools Experience working with data quality tools Understanding of basic data engineering concepts, including ETL processes, data pipelines, and data lineage tracking. Experience with data catalog tools ( Azure Purview). Hands - on experience in Erwin<br>Data Privacy & Compliance:Understanding of PII identification, data classification, and regulatory compliance. Agile & Squad Methodology: Experience working in an agile environment with cross-functional squads. Strong English & Communication Skills:Strong verbal and written communication skills to engage with technical and business stakeholders.

Job Summary:We are seeking a Data Governance Engineer to join our UAE Technology Offshoring Team. The Ideal candidate will be responsible for the below:<br>Data Modeling with a strong understanding of data warehouse (DWH) concepts, data issues’ validation, and data mesh architecture and Star Schema<br>The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.<br>They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.<br>Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.<br>The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.<br>Key Responsibilities:1. Data Modelling Management:Implement and maintain data governance frameworks, policies, and standards. Ensure high-quality data management across DWH models and data sources. Develop and execute data quality rules, validation processes, and monitoring frameworks. Identify and resolve data quality issues in collaboration with business and operation teams. Work with data quality tools to automate data validation and cleansing processes.2. Data Warehouse (DWH) & Data Modeling:Support the design and governance of data warehouse (DWH) models based on business requirements. Ensure data consistency and integrity across structured and semi-structured datasets. Collaborate with data architects and engineers to optimize DWH performance. Work with Data Mesh architecture to enable decentralized data ownership and governance.3. Cloud & Data Engineering Concepts:Utilize Databricks for Quality & Analytics. Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines. Support the development and governance of data pipelines using tools like Databricks or Apache Spark. Implement data lineage tracking to ensure data transparency and traceability across pipelines.4. Data Privacy & Compliance:Identification, classification, and protection of PII and sensitive data. Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies. Maintain data lineage and governance documentation.5. Agile & Squad-Based Collaboration:Work in an agile environment using the squad model. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders. Participate in sprint planning, backlog grooming, and agile ceremonies.6. Communication & Cross-Cultural Collaboration:Work with teams across different cultures and nationalities to align data governance strategies. Clearly communicate technical and governance concepts to both technical and non-technical stakeholders. Facilitate discussions, workshops, and training sessions to promote data governance best practices.<br>Required Skills & Qualifications:Experience in data governance, data quality, and data modeling Technical Expertise:Strong knowledge of data governance frameworks and data quality management. Experience with data warehouse (DWH) concepts and Data Mesh architecture. Knowledge of SQL, Python, or Spark Hand-on experience in IBM Tools Experience working with data quality tools Understanding of basic data engineering concepts, including ETL processes, data pipelines, and data lineage tracking. Experience with data catalog tools ( Azure Purview). Hands - on experience in Erwin<br>Data Privacy & Compliance:Understanding of PII identification, data classification, and regulatory compliance. Agile & Squad Methodology: Experience working in an agile environment with cross-functional squads. Strong English & Communication Skills:Strong verbal and written communication skills to engage with technical and business stakeholders.

Who Are We❓<br><br>We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving Saa S companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest Saa S funding round in MENA, boosting its innovation capabilities to better serve business owners.<br><br>The Job in a Nutshell????<br><br>You will lead the design, development, and deployment of ML/AI/Gen AI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.<br><br>What Will You Do❓<br><br>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring Design and develop scalable solutions using classical ML and Gen AI techniques Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models Collaborate with squads and platform teams to ensure reusability and adherence to standards Mentor junior ML engineers and contribute to the internal ML knowledge base Integrate models with APIs and backend services as needed Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement<br><br>What Are We Looking For❓<br><br>5+ years' experience in applied ML, AI, or data science Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, Tensor Flow, XGBoost, Hugging Face Transformers) Experience with MLOps tools (e.g., MLflow, Sage Maker) and managing versioning, testing, and observability Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences Proven track record of deploying ML models in production at scale Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness Strong understanding of data pipelines, experimentation, and model evaluation Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, Git Ops, and IaC tools (e.g., Terraform, CDK) Hands-on experience with Gen AI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as Lang Chain, Lang Graph, or Llama Index<br><br>What We Offer You❗<br><br>We believe you will love working at Foodics!<br><br>We have an inclusive and diverse culture that encourages innovation We offer highly competitive compensation packages, including bonuses and the potential for shares We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a Senior Data Scientist to boost business decisions towards data-driven outcomes.</p> <p>As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Key accountabilities</h4> <ul> <li>Identifying business opportunities to make a commercial difference.</li> <li>Leads the development of analytics initiatives to meet business requirements.</li> <li>Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results to create understanding and solution buy-in.</li> <li>Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Works closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identifies new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promotes design thinking and agile methodologies.</li> </ul> <h4>Core competencies</h4> <p>You should be passionate about working with huge data sets and love bringing datasets together to answer business questions. You should have deep expertise in the creation and management of datasets.</p> <p>You should be detail-oriented and have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks, and drive them to completion.</p> <p>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</p> <ul> <li>Strong knowledge of big data technology (e.g., Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask and work under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Technical and professional qualifications</h4> <ul> <li>Master’s degree (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science, or Engineering.</li> <li>Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and machine learning libraries (e.g., Python SciPy and TensorFlow, Spark MLlib).</li> <li>Familiar with leading visualisation tools (e.g., Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology, we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p></p><p></p>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a Data Scientist to boost business’s decisions towards data-driven outcomes.</p> <p>As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Key accountabilities</h4> <ul> <li>Identify business opportunities to make a commercial difference.</li> <li>Lead the development of analytics initiatives to meet business requirements.</li> <li>Translate complex datasets into strategic insights for the business and communicate simply to non-technical audiences, visualising results to create understanding and solution buy-in.</li> <li>Be recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Work closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identify new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promote design thinking and agile methodologies.</li> </ul> <h4>Competencies & qualifications</h4> <ul> <li>Passionate about working with huge data sets and enjoy bringing datasets together to answer business questions.</li> <li>Deep expertise in creation and management of datasets.</li> <li>Detail-oriented with an aptitude for solving unstructured problems.</li> <li>Ability to work in a self-directed environment, own tasks, and drive them to completion.</li> <li>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</li> <li>Strong knowledge of big data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask and work under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Technical / professional skills</h4> <ul> <li>Master’s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science, or Engineering.</li> <li>0 to 2 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib).</li> <li>Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to the company’s official careers guidance for assistance.</p> <p><strong>Together we can.</strong></p></p><p></p>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Job summary</h4> <p>The QA & Testing Auto. Tech Specialist (Enterprise Solutions Tribe) is responsible for supporting the testing team to ensure the quality and reliability of software products. This entry-level role focuses on executing manual test cases, learning the fundamentals of automation, and assisting in the identification and reporting of bugs. The engineer will work under the supervision of senior testers and collaborate with development teams to gain hands-on experience in the software testing lifecycle.</p> <h4>Job description</h4> <p><strong>Key responsibilities:</strong></p> <ul> <li><strong>Test execution & documentation</strong><br> Execute manual test cases and report defects clearly.<br> Assist in documenting test scenarios, steps, and expected results.<br> Help maintain test artifacts under guidance.</li> <li><strong>Automation support</strong><br> Participate in learning automation scripting and framework usage.<br> Assist in running automated tests and interpreting basic results.<br> Support senior testers in test script development and maintenance.</li> <li><strong>Collaboration & communication</strong><br> Work closely with business team members and developers to understand requirements and testing scope.<br> Attend daily standups, sprint planning, and review meetings.<br> Provide updates on test execution progress and issues.</li> <li><strong>Learning & development</strong><br> Take part in internal training and mentorship programs.<br> Stay updated with foundational QC and automation concepts.<br> Gradually take on more complex testing tasks as skills develop.<br> Capture lessons learnt and best practice to improve test methodologies.</li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Qualifications</h4> <p><strong>Education & experience:</strong></p> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>1–2 years of experience in software testing.</li> <li>Internship or academic experience in testing is a plus.</li> <li>Basic understanding of software development and QA processes.</li> <li>Certified ISTQB Foundation level is mandatory.</li> </ul> <p><strong>Technical skills:</strong></p> <ul> <li>Knowledge of test case design, execution, and bug reporting.</li> <li>Familiarity with at least one test management or defect-tracking tool (e.g., JIRA).</li> <li>Exposure to test automation tools (e.g., Selenium, Appium).</li> <li>Basic understanding of scripting or programming (e.g., Java, Python).</li> <li>Awareness of Agile methodologies.</li> <li>Certified ISTQB Agile tester is a plus.</li> </ul> <p><strong>Soft skills:</strong></p> <ul> <li>Good communication and collaboration skills.</li> <li>Willingness to learn and take direction from senior team members.</li> <li>Detail-oriented mindset with an eagerness to improve.</li> <li>Team player with a proactive attitude.</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increasing diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please contact the recruitment team for guidance.</p> <p>Together we can.</p></p><p></p>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>The QA & Testing Auto. Tech Specialist is responsible for supporting the testing team to ensure the quality and reliability of software products. This entry-level role focuses on executing manual test cases, learning the fundamentals of automation, and assisting in the identification and reporting of bugs. The engineer will work under the supervision of senior testers and collaborate with development teams to gain hands-on experience in the software testing lifecycle.</p> <h4>Responsibilities</h4> <p><strong>Test execution & documentation</strong><br> <li>Execute manual test cases and report defects clearly.</li> <li>Assist in documenting test scenarios, steps, and expected results.</li> <li>Help maintain test artifacts under guidance.</li></p> <p><strong>Automation support</strong><br> <li>Participate in learning automation scripting and framework usage.</li> <li>Assist in running automated tests and interpreting basic results.</li> <li>Support senior testers in test script development and maintenance.</li></p> <p><strong>Collaboration & communication</strong><br> <li>Work closely with business team members and developers to understand requirements and testing scope.</li> <li>Attend daily standups, sprint planning, and review meetings.</li> <li>Provide updates on test execution progress and issues.</li></p> <p><strong>Learning & development</strong><br> <li>Take part in internal training and mentorship programs.</li> <li>Stay updated with foundational QC and automation concepts.</li> <li>Gradually take on more complex testing tasks as skills develop.</li> <li>Capture lessons learnt and best practice to improve test methodologies.</li></p> <h4>Competencies and qualifications</h4> <p><strong>Education & experience:</strong><br> <li>Bachelor’s degree in computer science, information technology, or a related field.</li> <li>1–2 years of experience in software testing.</li> <li>Internship or academic experience in testing is a plus.</li> <li>Basic understanding of software development and QA processes.</li> <li>Certified ISTQB Foundation level is mandatory.</li></p> <p><strong>Technical skills:</strong><br> <li>Knowledge of test case design, execution, and bug reporting.</li> <li>Familiarity with at least one test management or defect-tracking tool (e.g., JIRA).</li> <li>Exposure to test automation tools (e.g., Selenium, Appium).</li> <li>Basic understanding of scripting or programming (e.g., Java, Python).</li> <li>Awareness of Agile methodologies.</li> <li>Certified ISTQB Agile tester is a plus.</li></p> <p><strong>Soft skills:</strong><br> <li>Good communication and collaboration skills.</li> <li>Willingness to learn and take direction from senior team members.</li> <li>Detail-oriented mindset with an eagerness to improve.</li> <li>Team player with a proactive attitude.</li></p> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please let us know so we can support you accordingly.</p> <p>Together we can.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Overview<p>We are looking for a proactive and curious DevOps Engineer who is passionate about automation, cloud infrastructure, software development, Kubernetes, and artificial intelligence.</p><br><p>The ideal candidate follows developments in the AI industry, experiments with new tools, and works on personal projects to continuously improve their technical skills. This role is suited to someone who enjoys solving problems, taking ownership, learning independently, and challenging themselves to exceed their current capabilities.</p><br>Key Responsibilities<p>Build, maintain, and improve reliable and scalable cloud infrastructure.</p><br><p>Deploy, manage, and troubleshoot Kubernetes clusters and containerized applications.</p><br><p>Monitor cluster health, performance, availability, and resource usage.</p><br><p>Manage Kubernetes workloads, services, ingress, storage, networking, secrets, and configuration.</p><br><p>Develop and maintain CI/CD pipelines for automated software delivery.</p><br><p>Automate infrastructure provisioning, configuration, monitoring, and operational processes.</p><br><p>Manage infrastructure and services primarily on AWS.</p><br><p>Support selected workloads and services on Microsoft Azure.</p><br><p>Troubleshoot infrastructure, application, deployment, networking, and cluster-related issues.</p><br><p>Work closely with software engineers to improve development and release processes.</p><br><p>Use Infrastructure as Code tools to create repeatable and scalable environments.</p><br><p>Identify opportunities to use AI tools to improve engineering productivity, automation, monitoring, and internal workflows.</p><br><p>Research new technologies and recommend practical improvements.</p><br><p>Document systems, architecture, processes, and operational procedures.</p><br>Required Skills and Experience<p>Professional experience in DevOps, cloud engineering, software engineering, systems engineering, or a related role.</p><br><p>Strong practical experience with Kubernetes and production cluster management.</p><br><p>Experience deploying, scaling, upgrading, monitoring, and troubleshooting Kubernetes clusters.</p><br><p>Experience with managed Kubernetes services, preferably Amazon EKS.</p><br><p>Familiarity with Azure Kubernetes Service is an advantage.</p><br><p>Strong understanding of Docker and containerized environments.</p><br><p>Practical experience with AWS services and cloud architecture.</p><br><p>Familiarity with Microsoft Azure services and concepts.</p><br><p>Strong understanding of software development principles and the software delivery lifecycle.</p><br><p>Experience with at least one programming or scripting language, such as Python, JavaScript, Bash, Go, or PowerShell.</p><br><p>Experience with CI/CD platforms and automated deployment processes.</p><br><p>Knowledge of Infrastructure as Code tools, such as Terraform, AWS CloudFormation, or Azure Bicep.</p><br><p>Understanding of Linux, networking, security, monitoring, logging, and troubleshooting.</p><br><p>Experience using Git and modern source control workflows.</p><br>Kubernetes and Cluster Management<p>The successful candidate should have experience with:</p><br><p>Kubernetes architecture, including control plane and worker node components.</p><br><p>Cluster installation, configuration, maintenance, and upgrades.</p><br><p>Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs.</p><br><p>Services, ingress controllers, load balancing, and DNS.</p><br><p>Kubernetes networking, storage, secrets, and configuration management.</p><br><p>Helm charts and Kubernetes package management.</p><br><p>Autoscaling, resource limits, requests, and capacity planning.</p><br><p>Role-Based Access Control, identity, permissions, and cluster security.</p><br><p>Cluster monitoring, logging, alerting, and incident troubleshooting.</p><br><p>High availability, disaster recovery, backup, and restoration processes.</p><br><p>Production environments with multiple clusters or namespaces.</p><br>AI and Continuous Learning<p>We are particularly interested in candidates who:</p><br><p>Actively follow developments in AI, large language models, automation, and developer tools.</p><br><p>Experiment with AI tools in their work or personal projects.</p><br><p>Understand how AI can support engineering, operations, monitoring, and automation.</p><br><p>Build personal projects, contribute to open-source projects, or independently explore new technologies.</p><br><p>Demonstrate a strong desire to learn, improve, and expand beyond their current capabilities.</p><br>Personal Qualities<p>Proactive and comfortable taking ownership.</p><br><p>Curious, self-motivated, and willing to experiment.</p><br><p>Able to identify problems and propose solutions without waiting for detailed instructions.</p><br><p>Strong analytical and problem-solving skills.</p><br><p>Comfortable working independently and collaborating with technical teams.</p><br><p>Open to feedback and committed to continuous improvement.</p><br><p>Ambitious and motivated to exceed their current level of knowledge and performance.</p><br>Nice to Have<p>Experience with Amazon EKS, Azure Kubernetes Service, or self-managed Kubernetes clusters.</p><br><p>Experience with GitOps tools such as Argo CD or Flux.</p><br><p>Experience with service mesh technologies such as Istio or Linkerd.</p><br><p>Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, or Azure Monitor.</p><br><p>Knowledge of cloud security, identity management, and access control.</p><br><p>Experience integrating AI APIs or building AI-powered tools.</p><br><p>Public personal projects, a GitHub portfolio, technical writing, or open-source contributions.</p><br><p>Relevant AWS, Azure, Kubernetes, or DevOps certifications.</p><br>What We Offer<p>The opportunity to work with modern cloud, Kubernetes, automation, software, and AI technologies.</p><br><p>A role with meaningful ownership and room to introduce new ideas.</p><br><p>Support for professional development and continuous learning.</p><br><p>The freedom to experiment, improve processes, and build better technical solutions.</p><br><p>A collaborative environment for people who want to challenge themselves and grow.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Valleysoft is an IT services provider supporting organizations with enterprise technology, software development, process improvement, and infrastructure solutions for global clients.<br> Working across a broad range of business needs, the company helps customers build and operate reliable technology environments that can scale with complexity, performance demands, and long-term transformation goals.<br> In this role, you will shape the SAP platform architecture that underpins critical enterprise systems, helping ensure stability, resilience, and operational excellence across complex landscapes.<br> You will work closely with infrastructure, security, cloud, and application teams to guide technical direction, support modernization efforts, and establish strong standards for SAP Basis operations.<br> Responsibilities Design and maintain enterprise SAP architecture across development, quality assurance, and production environments.<br> Lead SAP Basis administration, including installation, configuration, upgrades, migrations, and system refreshes.<br> Architect and support SAP S/4HANA, SAP ECC, SAP BW/4HANA, SAP Solution Manager, and SAP Fiori landscapes.<br> Plan and execute SAP system upgrades, enhancement packages, kernel upgrades, and patch management.<br> Design high-availability and disaster-recovery solutions for SAP environments.<br> Manage SAP transport management using CTS/CTS+ and ChaRM.<br> Monitor SAP system performance and optimize system resources, database performance, and application availability.<br> Collaborate with infrastructure, security, cloud, and application teams to ensure seamless integration and platform reliability.<br> Design and implement SAP security architecture in coordination with SAP Security teams.<br> Support cloud migration initiatives involving SAP workloads.<br> Define architecture standards, governance, and best practices for SAP Basis operations.<br> Troubleshoot complex SAP infrastructure and performance issues.<br> Prepare technical documentation, architecture diagrams, and operational procedures.<br> Provide technical leadership and mentor SAP Basis administrators.<br> Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.<br> Minimum 8 years of experience in SAP Basis Administration, including 3+ years in an SAP Basis Architect or Lead role .<br> Strong experience designing and supporting enterprise SAP landscapes.<br> Hands-on experience with SAP S/4HANA implementations and migrations.<br> Strong knowledge of SAP architecture, infrastructure, and database administration.<br> Experience working in large enterprise environments.<br> Excellent analytical, communication, and leadership skills.<br> Technical Skills SAP Technologies SAP Basis Administration SAP S/4HANA SAP ECC SAP BW/4HANA SAP Fiori SAP Solution Manager SAP NetWeaver SAP Business Technology Platform (SAP BTP) SAP Web Dispatcher SAProuter SAP Landscape Management (LaMa) SAP Administration SAP Installation &amp; Configuration System Copy &amp; Refresh Client Copy SAP Kernel Upgrades Support Package Stack (SPS) Enhancement Packages (EHP) SAP Transport Management System (TMS) CTS / CTS+ ChaRM SAP Start/Stop Procedures Databases SAP HANA Oracle Database Microsoft SQL Server IBM Db2 SAP ASE Operating Systems Linux SUSE Linux Enterprise Server (SLES) Red Hat Enterprise Linux (RHEL) Windows Server Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) SAP RISE SAP BTP High Availability &amp; Disaster Recovery SAP HANA System Replication High Availability (HA) Disaster Recovery (DR) Backup &amp; Recovery Load Balancing Automation &amp; DevOps Shell Scripting Python Ansible Terraform (Preferred) Git Jenkins CI/CD Monitoring Tools SAP Solution Manager SAP EarlyWatch SAP Focused Run Cloud Monitoring Tools Preferred Skills Experience with SAP cloud migration projects.<br> Experience with SAP RISE and SAP Business Technology Platform (BTP).<br> Knowledge of containerized infrastructure and Kubernetes is a plus.<br> Experience integrating SAP systems with enterprise applications.<br> Strong understanding of infrastructure architecture and networking concepts.<br> Familiarity with ITIL processes and enterprise operational standards.<br> Experience working in Agile delivery environments.<br> Soft Skills Strong leadership and mentoring abilities.<br> Excellent analytical and troubleshooting skills.<br> Strong communication and stakeholder management skills.<br> Ability to work effectively across cross-functional teams.<br> Strong planning, documentation, and organizational skills.<br> Ability to manage multiple priorities in a fast-paced environment.<br> Preferred Certifications SAP Certified Technology Associate – SAP S/4HANA System Administration SAP Certified Technology Specialist – SAP HANA SAP Certified Technology Associate – OS/DB Migration SAP Certified Technology Associate – SAP Business Technology Platform (BTP) Microsoft Azure Administrator Associate (Preferred) AWS Certified Solutions Architect – Associate (Preferred) Eligibility to work in Egypt.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Join Us</b> <br></span><p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p><br><br><br><b>Role Purpose</b> <br><p>The <strong>QA &amp; Testing Auto. Tech Specialist</strong> is responsible for supporting the testing team to ensure the quality and reliability of software products. This entry-level role focuses on executing manual test cases, learning the fundamentals of automation, and assisting in the identification and reporting of bugs. The engineer will work under the supervision of senior testers and collaborate with development teams to gain hands-on experience in the software testing lifecycle</p><br><br><br><b>Responsibilities</b> <br><ol> <li><strong>Test Execution &amp; Documentation</strong></li> </ol><ul> <li>Execute manual test cases and report defects clearly.</li> <li>Assist in documenting test scenarios, steps, and expected results.</li> <li>Help maintain test artifacts under guidance.</li> </ul> <strong>Automation Support</strong> <ul> <li>Participate in learning automation scripting and framework usage.</li> <li>Assist in running automated tests and interpreting basic results.</li> <li>Support senior testers in test script development and maintenance.</li> </ul> <strong>Collaboration &amp; Communication</strong> <ul> <li>Work closely with Business team members and developers to understand requirements and testing scope.</li> <li>Attend daily standups, sprint planning, and review meetings.</li> <li>Provide updates on test execution progress and issues.</li> </ul> <strong>Learning &amp; Development</strong> <ul> <li>Take part in internal training and mentorship programs.</li> <li>Stay updated with foundational QC and automation concepts.</li> <li>Gradually take on more complex testing tasks as skills develop.</li> </ul> <p>Capture lessons learnt and best practice to improve test methodologies.</p><br><br><br><b>Competencies and Qualifications</b> <br><p><strong>Education &amp; Experience:</strong></p><br> <ul> <li>Bachelor’s degree in computer science, Information Technology, or a related field.</li> <li>1–2 years of experience in software testing.</li> <li>Internship or academic experience in testing is a plus.</li> <li>Basic understanding of software development and QA processes.</li> <li>Certified ISTQB Foundation level is mandatory.</li> </ul> <p><strong>Technical Skills:</strong></p><br> <ul> <li>Knowledge of test case design, execution, and bug reporting.</li> <li>Familiarity with at least one test management or defect-tracking tool (e.g., JIRA).</li> <li>Exposure to test automation tools (e.g., Selenium, Appium).</li> <li>Basic understanding of scripting or programming (e.g., Java, Python).</li> <li>Awareness of Agile methodologies.</li> <li>Certified ISTQB Agile tester is a plus.</li> </ul> <p><strong>Soft Skills:</strong></p><br> <ul> <li>Good communication and collaboration skills.</li> <li>Willingness to learn and take direction from senior team members.</li> <li>Detail-oriented mindset with an eagerness to improve.</li> <li>Team player with a proactive attitude.</li> </ul><br><br><b>Not a perfect fit?</b> <br><p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p><br><br><br><b>Who we are</b> <br><p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><br> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><br> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><br> <p>Together we can.</p><br><br><br><br> </div>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>This role is based in Gurgaon, India. <br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field8+ years of experience in software engineering with a minimum of 4+ years in MLGood experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding of data architecture principles preferred. Any other experience with Big Data technologies / tools SQL experience Analytical problem-solving capabilities & experience. Systems administration skills in Linux A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About The Program The AI Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world AI and digital FinTech initiatives under the guidance of experienced engineers and mentors.<br> The role combines handson development, technical research, experimentation, and problem-solving across AI domains including forecasting, agentic simulation, and retrieval.<br> Residents will complete two rotations, each focused on delivering practical contributions and proof-of-concepts while developing their technical and research capabilities.<br> How you'll shape your future Build on real agentic and retrieval systems: tool-constrained agents, simulation of operational procedures, chunking strategies, retrieval failure modes, and end-to-end RAG optimization Run R&amp;D on open problems: design evaluations, diagnose why a system fails, and test whether a newer technique holds up under real cost and latency constraints Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run LLM and deep-learning fundamentals at working depth APIs, pipelines, and tooling: you can wire a system together • Prototyping with modern AI frameworks, end to end You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: a retrieval or RAG project you can talk through, agent or tool-calling work including where it failed, an evaluation habit, applied ML or statistics grounding.<br> What are we looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major : Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science.<br> Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026.<br> Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About the program The Data Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world data science and AI initiatives under the guidance of experienced engineers and mentors.<br> The role provides handson exposure to the full data and forecasting lifecycle, including data quality, feature engineering, statistical analysis, machine learning, forecasting, and behavioral segmentation.<br> Residents will conduct practical research, test new approaches, and deliver meaningful contributions through two structured rotations.<br> How you'll shape your future Work the full forecasting lifecycle on a live Finaira system: data quality, classical and deep-learning models, classification reformulation, and behavioral segmentation Run R&amp;D on open problems in the domain: benchmark newer forecasting methods honestly against established baselines and establish where they win Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints.<br> Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run Statistics, probability, and applied machine learning at working depth Data wrangling and feature work on real, messy data Comfort designing an experiment and evaluating it honestly You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: time series work, clustering or segmentation on a real dataset, a thesis or reading group, exposure to LLM tooling.<br> What we are looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major: Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026 Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>