Python Developer Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Digital Marketing, CRM &amp; Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.</p><p>Key Responsibilities</p><p>App Marketing &amp; Campaign Management (40%)</p><ul><li>Execute campaigns across the mobile application.</li><li>Manage offer builds, push notifications, in-app content, and delivery channel activations.</li></ul><p>CRM &amp; Lifecycle Marketing (25%)</p><ul><li>Develop automated CRM programs across onboarding, engagement, retention, and reactivation.</li><li>Manage CRM agency relationships from briefing through execution and performance review.</li></ul><p>Loyalty Program Management (20%)</p><ul><li>Own loyalty program operations, including earn/burn mechanics, reward catalog, point thresholds, and expiry policies.</li><li>Plan and execute booster campaigns on both the burn side (discounted redemptions) and earn side (point multipliers) to drive engagement and redemption rates.</li></ul><p>Data &amp; Reporting (15%)</p><ul><li>Write and maintain BigQuery SQL across transactional app data, GA4 event data, and CRM platform exports.</li><li>Build dashboards for stakeholders and senior leadership using Python, Looker Studio, and in-house web tooling.</li><li>Prepare monthly leadership reports, including Excel-based reporting where required.</li><li>Conduct incremental sales analysis for offers and campaigns, including methodology design, control group selection, baseline construction, and accounting for halo effects.</li></ul><p>Vendor &amp; Stakeholder Management</p><ul><li>Act as the primary contact for the loyalty platform vendor, CRM agency, app development partner, MMP, and analytics providers.</li><li>Coordinate cross-functional alignment with Marketing, Operations, Finance, Legal, and Technology teams.</li></ul><p>Experience in Digital Marketing, CRM, Loyalty Programs, or Customer Engagement.</p><p>Hands-on experience executing app marketing campaigns, including push notifications, in-app content, offers, and channel activations.</p><p>Experience developing and managing CRM and lifecycle marketing programs across onboarding, engagement, retention, and reactivation.</p><p>Experience working with CRM agencies and managing campaign execution and performance reviews.</p><p>Knowledge of loyalty program operations, including earn/burn mechanics, reward structures, point management, and redemption campaigns.</p><p>Experience planning and executing customer engagement and loyalty initiatives.</p><p>Strong SQL skills with experience working on large datasets (BigQuery preferred).</p><p>Experience analyzing transactional, CRM, and customer behavior data.</p><p>Experience with Google Analytics 4 (GA4).</p><p>Experience building dashboards and reports using tools such as Looker Studio and Python.</p><p>Ability to perform campaign performance analysis and measure incremental sales impact.</p><p>Experience working with control groups, baseline analysis, and campaign measurement methodologies.</p><p>Experience managing external vendors and agency partners.</p><p>Strong stakeholder management skills with the ability to collaborate across Marketing, Operations, Finance, Legal, and Technology teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Experience in Digital Marketing, CRM, Loyalty Programs, or Customer Engagement.</li><li>Hands-on experience executing app marketing campaigns, including push notifications, in-app content, offers, and channel activations.</li><li>Experience developing and managing CRM and lifecycle marketing programs across onboarding, engagement, retention, and reactivation.</li><li>Experience working with CRM agencies and managing campaign execution and performance reviews.</li><li>Knowledge of loyalty program operations, including earn/burn mechanics, reward structures, point management, and redemption campaigns.</li><li>Experience planning and executing customer engagement and loyalty initiatives.</li><li>Strong SQL skills with experience working on large datasets (BigQuery preferred).</li><li>Experience analyzing transactional, CRM, and customer behavior data.</li><li>Experience with Google Analytics 4 (GA4).</li><li>Experience building dashboards and reports using tools such as Looker Studio and Python.</li><li>Ability to perform campaign performance analysis and measure incremental sales impact.</li><li>Experience working with control groups, baseline analysis, and campaign measurement methodologies.</li><li>Experience managing external vendors and agency partners.</li><li>Strong stakeholder management skills with the ability to collaborate across Marketing, Operations, Finance, Legal, and Technology teams.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

???? We're Hiring | AI Engineer (AWS & Generative AI)???? Cairo, Egypt (Hybrid)???? Full-Time<br>At Registfy, we're helping organizations transform their businesses with enterprise AI solutions built on AWS.<br>We're looking for an AI Engineer who is passionate about designing and delivering production-ready AI solutions. This role is focused on AI architecture, intelligent automation, enterprise integrations, and Generative AI on AWS rather than traditional application development. You'll work closely with customers and internal teams to design, build, and deploy AI solutions that solve real business challenges across multiple industries.<br>What You'll Work On:AI Agents & Multi-Agent Systems Retrieval-Augmented Generation (RAG) Intelligent Document Processing AI Assistants & Enterprise Chatbots AI Workflow Automation Model Context Protocol (MCP) Servers Enterprise AI Integrations AWS Generative AI Solutions<br>What We're Looking For Required Qualifications2–4 years of professional experience Strong Python skills Hands-on experience building AI solutions AWS experience (mandatory) Experience with Amazon Bedrock and/or Amazon Sage Maker Experience with RAG applications Understanding of AI Agents and tool calling Experience integrating AI with enterprise services and APIsStrong analytical and problem-solving skills Excellent spoken and written English (mandatory) Experience with Model Context Protocol (MCP)<br>Nice to Have:Open AI, Anthropic, Google AI, or similar AI SDKsVector databases (Amazon Open Search, pgvector, or similar) Prompt & Context Engineering Enterprise AI architecture AWS AI and cloud certifications<br>Why Join Registfy?✅ Design and deliver production AI solutions on AWS✅ Own projects from solution design through successful delivery✅ Work with enterprise customers across different industries✅ Exposure to modern AI technologies, cloud architecture, and enterprise integrations✅ USD-based compensation✅ Hybrid work environment (Cairo)✅ Social & Health Insurance✅ Training budget✅ AWS Certification support✅ Claude AI training & certifications✅ Dynamic engineering culture focused on continuous learning and innovation✅ Excellent opportunities for career growth and hands-on experience across diverse customer engagements<br>How to Apply Apply through Linked In Easy Apply or send your CV to career@registfy.comEmail Subject: "R3-AI Engineer"Please include links to your Git Hub, Linked In profile, and any portfolio or AI projects that showcase your work. If you're excited about designing enterprise AI solutions and helping customers unlock the power of Generative AI on AWS, we'd love to hear from you.#Hiring #AIEngineer #Generative AI #AWS #Amazon Bedrock #Python #RAG #AIAgents #MCP #Claude #Artificial Intelligence #Cloud Computing #Solution Architecture #Cairo Jobs #Egypt Jobs #Registfy

We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement. This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br>Key Responsibilities<br>* Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services.<br>* Build conversational AI systems, chatbots, AI assistants, and education-focused copilots.<br>* Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interaction<br>flows.<br>* Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,<br>and approved knowledge sources.<br>* Fine-tune, evaluate, and monitor language models for production use cases where appropriate.<br>* Build REST APIs and scalable backend services for AI-powered features.<br>* Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services.<br>* Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learner<br>support.<br>* Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features.<br>* Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br><br>Requirements and Qualifications<br>* 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development.<br>* Strong Python experience and ability to build clean, maintainable services.<br>* Hands-on experience with NLP and LLM frameworks.<br>* Knowledge of Arabic NLP and Arabic language use cases.<br>* Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers.<br>* Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation.<br>* Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar.<br>* Familiarity with REST APIs, backend development, and Git-based collaboration.<br>* Practical experience with Voice AI, including STT, TTS, or voice interaction workflows.<br>* Experience deploying AI systems on AWS, Azure, or GCP.<br>* Experience fine-tuning or evaluating open-source LLMs.<br>* Experience with AI observability, model evaluation, guardrails, and cost optimization.<br>* Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br><br><br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

Role Overview We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement. This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br>Key Responsibilities• Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services.• Build conversational AI systems, chatbots, AI assistants, and education-focused copilots.• Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interactionflows.• Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,and approved knowledge sources.• Fine-tune, evaluate, and monitor language models for production use cases where appropriate.• Build REST APIs and scalable backend services for AI-powered features.• Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services.• Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learnersupport.• Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features.• Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br>Requirements and Qualifications• 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development.• Strong Python experience and ability to build clean, maintainable services.• Hands-on experience with NLP and LLM frameworks.• Knowledge of Arabic NLP and Arabic language use cases.• Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers.• Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation.• Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar.• Familiarity with REST APIs, backend development, and Git-based collaboration.• Practical experience with Voice AI, including STT, TTS, or voice interaction workflows.• Experience deploying AI systems on AWS, Azure, or GCP.• Experience fine-tuning or evaluating open-source LLMs.• Experience with AI observability, model evaluation, guardrails, and cost optimization.• Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

Job Title: Data Analyst (SAP/Odoo Specialist) Location: [Maadi] (Hybrid ) Employment Type: Full-Time Department: IT / Business Intelligence Key Responsibilities Data Extraction & Integration Extract, transform, and load (ETL) data from SAP (ECC/S/4HANA) and Odoo databases (Postgre SQL/MySQL). Build and maintain data pipelines to consolidate ERP data with external CRM and e-commerce platforms. Write complex SQL queries to pull transactional data (sales orders, purchase orders, inventory, and financial postings). Analysis & Reporting Develop interactive dashboards (Power BI, Tableau, or Odoo Studio) to track KPIs such as inventory turnover, order fulfillment rates, and gross margin. Perform root-cause analysis on data discrepancies between SAP and Odoo modules (e.g., Finance vs. Logistics). Provide actionable insights to improve business processes, reduce costs, and optimize supply chain efficiency. System Collaboration Partner with Functional Consultants to map business requirements into technical data models. Participate in Odoo migrations or SAP upgrade projects, ensuring data integrity during system transitions. Automate manual reporting processes using Python or Java Script (Odoo Automation). Data Governance Maintain data quality standards by cleansing master data (Customers, Vendors, Materials) across both systems. Document data dictionaries and transformation logic for audit and training purposes. Qualifications Education:Bachelor’s degree in Computer Science, Information Systems, Data Science, Finance, or a related field. Experience:2+ years of experience as a Data Analyst, Business Intelligence Analyst, or ERP Data Specialist. Must have hands-on experience with at least one of the following:SAP: Strong knowledge of tables (MARA, VBAK, LIKP, BSEG), debugging, and SAP Query. Odoo: Deep understanding of Odoo’s ORM, Postgre SQL database structure, and reporting engines. Technical Skills:SQL: Expert level (joins, subqueries, window functions). BI Tools: Proficiency in Power BI, Tableau, or Looker. Programming: Python (Pandas, Num Py) or R for advanced analytics. ERP Knowledge: Familiarity with Odoo’s Accounting, Sales, Purchase, and Inventory modules OR SAP FI/CO, MM, and SD modules. Data Warehousing: Experience with DWH concepts and ETL tools (e.g., Apache Airflow, Talend). Soft Skills:Strong business acumen; ability to translate data findings into plain English for operational managers. Excellent problem-solving skills and attention to detail. Ability to work independently in a hybrid setting while maintaining clear communication across time zones. Preferred (Nice to Have) Experience with Odoo Studio or SAP Fiori reporting. Knowledge of REST APIs for extracting data from third-party apps. Certified in Odoo Functional or SAP Activate methodology. Familiarity with cloud platforms (AWS, Azure, or GCP).

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Lead the end-to-end RPA lifecycle: requirement analysis, solution design, development, testing, deployment, and support. Translate business processes into robust automation solutions using RPA platforms (UiPath, Automation Anywhere, Blue Prism, etc.). Ensure best practices, governance, and security standards in automation projects. Troubleshoot complex production issues and optimize bot performance. Mentor and provide technical guidance to junior engineers. Collaborate with architects to integrate RPA with AI/ML, OCR, APIs, and ERP/CRM systems. Stay updated with emerging technologies in Intelligent Automation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications:</b></p><p>Bachelor s degree in Computer Science, Engineering, or related field. 3 5 years of hands-on experience in RPA development and deployment. Strong knowledge of UiPath (preferred) or other major RPA tools. Proficiency in C#, .NET, Python, or VB for advanced automation needs. Experience with databases (SQL), APIs, and workflow orchestration tools. Familiarity with OCR, AI/ML integrations, and Document Understanding. Excellent problem-solving, debugging, and analytical skills. Strong communication skills to work with technical and non-technical stakeholders.</p><b>Nice to Have (Optional):</b><p>UiPath Solution Architect certification. Experience with SAP, Salesforce, or other enterprise applications. Knowledge of cloud platforms (AWS, Azure, GCP) for automation deployment. Experience leading automation projects or managing small RPA teams.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> What you´ll do </span><ul> <li>Design, build, and maintain analytical data models and cubes (e.g., Azure Analysis Services / semantic models) to support reporting and advanced analytics&nbsp;</li> <li>Develop scalable data pipelines on Databricks using Python and Spark to transform raw data into trusted data assets&nbsp;</li> <li>Build and manage end-to-end data assets, from ingestion to curated datasets ready for BI consumption&nbsp;</li> <li>Ensure data quality, consistency, and performance optimization across analytics solutions&nbsp;</li> <li>Collaborate closely with business stakeholders, analysts, and data teams to translate requirements into scalable solutions&nbsp;</li> <li>Contribute to modern analytics architecture, best practices, and reusable frameworks&nbsp;</li> <li>Leverage AI-powered tools (e.g., Copilot, Genie, LLM-based solutions) to improve development efficiency and explore new use cases&nbsp;</li> <li>Continuously explore new technologies and proactively drive improvements within the data landscape&nbsp;</li> </ul> <br><br> What makes you a good fit <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field&nbsp;</li> <li>3–5 years of experience in data engineering / analytics engineering&nbsp;</li> <li>Strong hands-on experience with&nbsp;Python &amp; PySpark, Databricks (highly preferred), SQL &amp; data modeling (dimensional modeling is a plus)&nbsp;</li> <li>Experience building and maintaining analytical models / semantic layers (e.g., cubes, tabular models, Analysis Services, Power BI models)&nbsp;</li> <li>Familiarity with Spark-based data processing frameworks&nbsp;</li> <li>Experience working with Git and collaborative development workflows (CI/CD is a plus)&nbsp;</li> <li>Strong understanding of end-to-end data pipelines and data lifecycle&nbsp;</li> <li>Interest or experience in AI-driven development (GenAI, copilots, automation tools)&nbsp;</li> </ul> Some perks of joining Henkel <ul> <li>Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year</li> <li>Diverse national and international growth opportunities</li> <li>Global wellbeing standards with health and preventive care programs</li> <li>Gender-neutral parental leave for a minimum of 8 weeks</li> <li>Employee Share Plan with voluntary investment and Henkel matching shares</li> <li>Comprehensive Health Insurance for employee + dependents</li> <li>Employee Assistance Programme provides a wide range of mental health and wellbeing benefits</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

Role Overview We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement. This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br>Key Responsibilities• Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services.• Build conversational AI systems, chatbots, AI assistants, and education-focused copilots.• Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interactionflows.• Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,and approved knowledge sources.• Fine-tune, evaluate, and monitor language models for production use cases where appropriate.• Build REST APIs and scalable backend services for AI-powered features.• Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services.• Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learnersupport.• Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features.• Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br>Requirements and Qualifications• 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development.• Strong Python experience and ability to build clean, maintainable services.• Hands-on experience with NLP and LLM frameworks.• Knowledge of Arabic NLP and Arabic language use cases.• Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers.• Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation.• Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar.• Familiarity with REST APIs, backend development, and Git-based collaboration.• Practical experience with Voice AI, including STT, TTS, or voice interaction workflows.• Experience deploying AI systems on AWS, Azure, or GCP.• Experience fine-tuning or evaluating open-source LLMs.• Experience with AI observability, model evaluation, guardrails, and cost optimization.• Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

Role Overview We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement. This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br>Key Responsibilities• Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services.• Build conversational AI systems, chatbots, AI assistants, and education-focused copilots.• Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interactionflows.• Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,and approved knowledge sources.• Fine-tune, evaluate, and monitor language models for production use cases where appropriate.• Build REST APIs and scalable backend services for AI-powered features.• Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services.• Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learnersupport.• Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features.• Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br>Requirements and Qualifications• 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development.• Strong Python experience and ability to build clean, maintainable services.• Hands-on experience with NLP and LLM frameworks.• Knowledge of Arabic NLP and Arabic language use cases.• Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers.• Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation.• Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar.• Familiarity with REST APIs, backend development, and Git-based collaboration.• Practical experience with Voice AI, including STT, TTS, or voice interaction workflows.• Experience deploying AI systems on AWS, Azure, or GCP.• Experience fine-tuning or evaluating open-source LLMs.• Experience with AI observability, model evaluation, guardrails, and cost optimization.• Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>About this Role</b></p><p><b>We are seeking a skilled S</b>enior DevOps Engineer to support the design, implementation, and maintenance of scalable data and software solutions on Google Cloud Platform (GCP). The role involves building and managing CI/CD pipelines, ensuring system performance, reliability, and security, and enabling automation through infrastructure as code and modern DevOps practices within a data analytics environment.</p><p>What you’ll do</p><p>Design, implement, and manage cloud-based infrastructure with a focus on Google Cloud Platform</p><p>Develop, automate, and maintain CI/CD pipelines to support efficient and reliable deployments</p><p>Apply infrastructure as code practices using tools such as Terraform to automate environments</p><p>Deploy and manage containerised applications using Docker and Kubernetes, leveraging tools such as Helm or ArgoCD</p><p>Act as a subject matter resource, supporting stakeholders to ensure requirements are understood and delivered effectively</p><p>Drive continuous improvement in deployment cycles, system reliability, and operational processes</p><p>Develop and maintain scalable, sustainable services and applications using clean coding practices</p><p>Who you are</p><p>Strong experience with DevOps tools and platforms including GitHub, GitHub Actions, Jenkins, GCP, Kubernetes, and Docker</p><p>Knowledge of infrastructure automation tools such as Terraform and Ansible</p><p>Understanding of DevSecOps principles, IT service management processes, and system reliability practices</p><p>Familiarity with networking concepts, databases, DNS, proxies, and security principles</p><p>Proficiency in scripting languages such as Python and Bash for automation tasks</p><p>Experience in monitoring and observability tools such as Prometheus, Datadog, and Elasticsearch</p><p>Background in managing CI/CD pipelines and optimising system performance and availability</p><p>Experience with containerisation and orchestration technologies</p><p>Strong communication skills and ability to collaborate across teams</p><p>Approximately 3+ years of relevant DevOps experience with a proven track record of delivery</p><p>Not a perfect fit?</p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p><br></p><p><b>What's in it for you</b></p><p>Opportunity to work on advanced cloud and data platform engineering projects within a global environment</p><p>Exposure to modern DevOps practices, tools, and large-scale distributed systems</p><p>Collaborative environment focused on continuous improvement and innovation</p><p>Opportunity to influence system reliability, automation strategy, and engineering practices</p><p>What skills you will learn</p><p>Advanced cloud infrastructure design and optimisation on GCP</p><p>End-to-end CI/CD pipeline development and automation strategies</p><p>Kubernetes and container orchestration at scale</p><p>DevSecOps practices and secure software delivery approaches</p><p>Monitoring, observability, and performance tuning for distributed systems</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Strong experience with DevOps tools and platforms including GitHub, GitHub Actions, Jenkins, GCP, Kubernetes, and Docker</p><p>Knowledge of infrastructure automation tools such as Terraform and Ansible</p><p>Understanding of DevSecOps principles, IT service management processes, and system reliability practices</p><p>Familiarity with networking concepts, databases, DNS, proxies, and security principles</p><p>Proficiency in scripting languages such as Python and Bash for automation tasks</p><p>Experience in monitoring and observability tools such as Prometheus, Datadog, and Elasticsearch</p><p>Background in managing CI/CD pipelines and optimising system performance and availability</p><p>Experience with containerisation and orchestration technologies</p><p>Strong communication skills and ability to collaborate across teams</p><p>Approximately 3+ years of relevant DevOps experience with a proven track record of delivery</p><p></p></section>

<p>inDrive is seeking an Anti-fraud Officer to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products: Ban evasion through multi-accounting, GPS spoofing, ride manipulation, promo and referral abuse, payment fraud, driver passenger collusion etc. Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes Develop, tune, and improve fraud detection rules and anti-fraud dashboards Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics Manage fraud cases end-to-end , from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents Conduct risk assessments of new and existing product features in collaboration with Product teams Analyze and monitor fraud losses , identify key sources of losses, and develop plans to reduce them Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs</p><p><strong>Desired Candidate Profile</strong></p><p>2+ years of experience in anti-fraud, risk analytics, or a related analytical field Strong proficiency in SQL and Python for analyzing large datasets Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses Strong analytical thinking, attention to detail, and a structured approach to investigations Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations English B2 or higher</p>

???? Hiring immediately at Raqmeyat???? Location: Mohandessin – Giza We are hiring:Senior Odoo Implementer Job Description:We are looking for a talented Odoo Implementer to join our ERP team and support in delivering effective Odoo solutions. Responsibilities:Gather and analyze client requirements. Configure and customize Odoo modules (Sales, Accounting, Inventory, HR, etc.). Provide user training and support after implementation. Collaborate with developers to deliver customized solutions. Test and troubleshoot system issues. Requirements:• 4–6 years of experience in Odoo implementation.• Strong understanding of Odoo modules & business processes.• Bachelor’s degree in relevant field.• Knowledge of Python or XML is a plus.• Good communication and problem-solving skills. Job Details:• Working hours: 8 hours• Work location: Onsite• Work days: Sunday to Thursday• Off days: Friday & Saturday If you are interested, send your CV to:???? HR@ritsol.comKindly mention the job title in the subject line.#Hiring #Odoo #ERP #HR #Jobs #Cairo #Giza

Job Responsibilities:Lead the design and implementation of data pipelines and governance frameworks using IBM CP4D, ensuring enterprise data is reliable, governed, and accessible. Design and develop enterprise data pipelines using IBM Data Stage on CP4DImplement data governance and cataloging practices using Watson Knowledge Catalog Integrate CP4D with external data sources and services Define best practices for IBM-based data architecture Collaborate with BI and analytics teams to support reporting needs Mentor and support junior engineers working within CP4DParticipate in strategic planning and technical roadmap development<br><br>Required Qualifications:Bachelor’s degree in Communications Engineering, Computer Science, or a related field.5+ years in data engineering, including 3+ years with IBM Cloud Pak for Data (CP4D) Expert in IBM Data Stage, Watson Knowledge Catalog, and Data Virtualization Strong understanding of ETL/ELT pipelines, data governance, and metadata management Proficient in SQL, Python, and REST APIsStrong troubleshooting and performance optimization skills Ability to mentor junior team members and lead implementation projects.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.</span></p><br><br><br><p><b><b>Key Responsibilities:</b></b></p><br><br><ul><li><span>Support in understanding system &amp; software requirements with senior guidance.</span></li><li><span>Design and execute test cases for automotive ECUs (manual &amp;&nbsp; automation).</span></li><li><span>Contribute to running integration tests and debugging issues with the team.</span></li><li><span>Participate in validation activities following automotive standards.</span></li><li><span>Contribute to developing and enhancing simple automation scripts.</span></li><li><span>Prepare test logs, reports, and document defects clearly.</span></li><li><span>Learn and use automation tools (Python, Robot, ECU-Test, CAPL, etc.).</span></li><li><span>Follow team processes and participate in daily/weekly meetings.</span></li><li><span>Collaborate with developers and testers to clarify issues and ensure testability.</span></li></ul><p><span><b>Requirements:</b></span></p><br><br><ul><li><span>Strong knowledge in embedded systems (microcontrollers, interfaces, C basics, debugging).</span></li><li><span>Basic knowledge of automotive software (CAN, diagnostics, ECUs, automotive SW lifecycle).</span></li><li><span>Good understanding of software testing concepts.</span></li><li><span>Intro-level scripting/automation skills (Python or similar).</span></li><li><span>Good communication skills, problem-solving, and eagerness to learn.</span></li></ul><p><b><span>Experience:</span></b></p><br><br><ul><li><span><b>0–2 years</b>&nbsp;(fresh graduates encouraged to apply).</span></li></ul><p><b>Job:</b></p><br><br>R&amp;D Engineer<p><b>Organization:</b></p><br><br>Software Development<p><b>Schedule:</b></p><br><br>Full time<p><b>Employee Status:</b></p><br><br>Regular<p><b>Job Type:</b></p><br><br>Annual Contract<p><b>Job Posting Date:</b></p><br><br>2026-06-03<p><i>Join Us !<br>Being part of our team, you will join:<br>- one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development<br>- a multi-cultural environment that values diversity and international collaboration<br>- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth<br>- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development<br>More information on Valeo: <u><span>https://www.valeo.com</span></u></i></p><br><br><br> </div>

Key Responsibilities:<br>Collect, validate, and analyze data related to production, inventory and planning. Analyze production efficiency, machine utilization, waste, downtime, and productivity trends. Monitor quality indicators and identify root causes of performance gaps. Support forecasting and capacity planning through data analysis. Generate insights to optimize cost, lead time, and operational processes. Collaborate with Production, Planning, Quality, HR, and Supply Chain teams to support data-driven decisions. Automate reporting processes and improve data accuracy. Prepare regular reports and presentations for management. Ensure data integrity and maintain reporting standards.<br>Qualifications Bachelor's degree Business Administration, Statistics, or a related field.2–5 years of experience in Data Analysis. Advanced proficiency in Excel, SQL, Power BI, and data visualization tools. Experience in ERP systems . Basic knowledge of Python is an advantage. Understanding of S&OP, demand forecasting, inventory management, warehousing, and planning. Strong analytical, problem-solving, and communication skills. Experience in Manufacturing or Industrial sectors is preferred.

Key Responsibilities:<br>Collect, validate, and analyze data related to production, inventory and planning. Analyze production efficiency, machine utilization, waste, downtime, and productivity trends. Monitor quality indicators and identify root causes of performance gaps. Support forecasting and capacity planning through data analysis. Generate insights to optimize cost, lead time, and operational processes. Collaborate with Production, Planning, Quality, HR, and Supply Chain teams to support data-driven decisions. Automate reporting processes and improve data accuracy. Prepare regular reports and presentations for management. Ensure data integrity and maintain reporting standards.<br>Qualifications Bachelor's degree Business Administration, Statistics, or a related field.2–5 years of experience in Data Analysis. Advanced proficiency in Excel, SQL, Power BI, and data visualization tools. Experience in ERP systems . Basic knowledge of Python is an advantage. Understanding of S&OP, demand forecasting, inventory management, warehousing, and planning. Strong analytical, problem-solving, and communication skills. Experience in Manufacturing or Industrial sectors is preferred.

<p><strong>Role Summary</strong></p><p>Take the next step in your career by joining a team where you will not just build pipelines, but design scalable data platforms. We are looking for an experienced Data Engineer who combines strong technical expertise in Python and SQL with a mindset for optimization. You will work directly with clients to build modern Data Warehouses and Lakehouses using industry-standard tools like Databricks and Azure Data Factory.</p><p>&nbsp;</p><p><strong>The Mission</strong></p><p>To build and optimize the data backbone of our clients' businesses. Your mission goes beyond moving data; you will ensure that pipelines are resilient, scalable, and economically efficient (FinOps). You will bridge the gap between infrastructure and data, taking ownership of technical delivery and helping shape the architecture of modern data platforms.</p><p>&nbsp;</p><p><strong>The Tech Stack</strong></p><ul><li><strong>Core Languages:</strong> Python or Scala (Proficient/OOP), SQL (Advanced/Analytical).</li><li><strong>Compute &amp; Storage:</strong> <strong>Databricks</strong>, Snowflake, BigQuery, Synapse, Redshift.</li><li><strong>Orchestration:</strong> <strong>Azure Data Factory (ADF)</strong>, Airflow, Dagster.</li><li><strong>Transformation:</strong> dbt (Core/Cloud), Spark/PySpark (Optimization focus).</li><li><strong>Infrastructure:</strong> Terraform (Implementation), Docker, Kubernetes (K8s).</li></ul><p>&nbsp;</p><p><strong>Your Responsibilities</strong></p><ul><li><strong>Data Platform Development:</strong> Design and implement pipelines to ingest, clean, and transform data into <strong>Data Lakes</strong> and <strong>Data Warehouses</strong>.</li><li><strong>Performance &amp; FinOps:</strong> Actively monitor and optimize pipelines for performance and cost. Differentiate between a working query and an efficient one.</li><li><strong>Deployment &amp; Configuration:</strong> Configure pipeline deployments and manage environment settings using IaC tools (Terraform) and CI/CD.</li><li><strong>Quality Assurance:</strong> Implement data quality checks (e.g., Great Expectations, dbt tests) and ensure data integrity.</li><li><strong>Mentorship:</strong> Communicate with stakeholders to clarify requirements and provide technical guidance/code reviews to Junior engineers.</li></ul><p>&nbsp;</p><p><strong>What We Offer:</strong></p><ul><li>Long-term career stability with a competitive salary paid in USD.</li><li>Conditions for steady career development.</li><li>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</li><li>Private medical insurance provided after successful completion of the probationary period</li><li>A well-equipped and cozy office supports comfort and productivity across all project stages.</li><li>Welcoming atmosphere and a friendly corporate culture.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.</p><br><p><strong>Role and Responsibilities :</strong></p><br><ul><li>Implement agent logic, tools, and orchestration against the given architecture.</li><li>Build and tune&nbsp;<strong>RAG pipelines</strong>: ingestion → embeddings → retrieval → re-ranking → evaluation</li><li>Design and optimize&nbsp;<strong>Postgres</strong>&nbsp;schemas, queries, and vector indexes for production load</li><li>Build the&nbsp;<strong>test-generation and test-execution engine</strong>&nbsp;for the AI Code Pipeline</li><li>Integrate with&nbsp;<strong>Git, CI/CD,</strong>&nbsp;and internal services</li><li>Build evaluation harnesses, observability, and guardrails so agents are measurable and safe</li><li>Own the reliability, latency, and cost of the systems you ship</li></ul><ul><li>Write clean, typed, well-tested Python and participate actively in code review</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Digital Verification Engineer to lead the verification strategy and execution for complex designs. You will drive methodology, architecture, and signoff quality, working closely with system, digital design, architecture, and physical implementation teams. This is a hands-on leadership role combining deep technical expertise with mentorship and cross-functional influence. Key Responsibilities Define and own end-to-end verification strategy for IPs and complex SoCs Architect and deploy scalable UVM-based verification environments Lead block-level, subsystem, and full-chip verification closure Drive coverage closure (functional + code + assertion) Best practices in: Constrained random verification, Assertions, Regression management and debug efficiently Drives regression automation (CI/CD, regression infrastructure, dashboards) Required skills BS or MS in Electrical and Computer Engineering with 10+ years of experience in digital verification Proven track record in SoC level verification and signoff Experience building reusable and scalable verification environments Proficiency in System verilog, UVM methodology, and Assertions (SVA) Strong experience in simulations and debug tools (e.g. vcs, verdi, spyglass) Deep understanding in clock/reset domain crossing knowledge of scripting (python, perl, TCL) for automation Experience with formal verification tools and methodologies Preferred knowledge in low-power verification (UPF/CPF is a plus) We Offer Base Salary Equity Annual Bonus Plan Medical Insurance Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>BS or MS in Electrical and Computer Engineering with 10+ years of experience in digital verification</p><p>Proven track record in SoC level verification and signoff</p><p>Experience building reusable and scalable verification environments</p><p>Proficiency in System verilog, UVM methodology, and Assertions (SVA)</p><p>Strong experience in simulations and debug tools (e.g. vcs, verdi, spyglass)</p><p>Deep understanding in clock/reset domain crossing</p><p>knowledge of scripting (python, perl, TCL) for automation</p><p>Experience with formal verification tools and methodologies</p><p>Preferred knowledge in low-power verification (UPF/CPF is a plus)</p><p></p></section>