Python Developer Jobs in Egypt

<p><b><br></b></p><p><b>In this role, you will:</b></p><ul><li>Develop and maintain RPA workflows using UiPath and Microsoft Power Automate with support from experienced team members</li><li>Assist with process mapping, documentation and identifying opportunities for automation</li><li>Build and maintain supporting scripts and automation components using C#, Python or TypeScript</li><li>Monitor automation performance, investigate issues and support first-line troubleshooting</li><li>Participate in testing, code reviews and continuous improvement initiatives</li><li>Support our migration from on-premise infrastructure to Google Cloud Platform (GCP)</li><li>Gain hands-on experience with agentic AI and Large Language Model (LLM) automation projects</li><li>Work closely with senior engineers and business stakeholders to deliver high-quality automation solutions</li><li>Produce clear technical documentation to support ongoing development and maintenance</li></ul><p>What's in it for YOU!</p><ul><li>International and inclusive environment that makes you feel supported, encouraged and welcome from day one</li><li>Opportunity to learn from experienced Automation Engineers and grow your technical expertise</li><li>Hands-on experience with cutting-edge technologies including RPA, cloud platforms and AI</li><li>Continuous development through our internal learning platforms and external training</li><li>Hybrid working environment</li><li>Corporate benefits and discounts</li></ul><p>To be successful in this role, the following is needed:</p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline, or equivalent practical experience</li><li>Up to two years' experience in RPA, software development or automation, including internships, academic projects or entry-level roles</li><li>Familiarity with UiPath and/or Microsoft Power Automate through work, study or certification</li><li>Basic programming knowledge in at least one of the following: C#, Python or TypeScript</li><li>Understanding of web technologies and APIs is an advantage</li><li>Experience using Git or similar version control tools</li><li>Curiosity about cloud technologies and AI-driven automation</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication skills and a collaborative approach to teamwork</li><li>Fluency in English, both written and spoken</li></ul><p>Please include a full CV, in English, with your application. Closing date is Sunday 9th August 2026.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline, or equivalent practical experience</li><li>Up to two years' experience in RPA, software development or automation, including internships, academic projects or entry-level roles</li><li>Familiarity with UiPath and/or Microsoft Power Automate through work, study or certification</li><li>Basic programming knowledge in at least one of the following: C#, Python or TypeScript</li><li>Understanding of web technologies and APIs is an advantage</li><li>Experience using Git or similar version control tools</li><li>Curiosity about cloud technologies and AI-driven automation</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication skills and a collaborative approach to teamwork</li><li>Fluency in English, both written and spoken</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Data Engineer operates within the framework established by the Lead — designing, building, and maintaining robust data pipelines and transformation logic that power analytics, compliance, and operational reporting across the Mortgage Cadence Platform.<br> The role is execution-focused with increasing ownership of end-to-end data workflows as familiarity with the platform grows.<br> Strong SQL, ETL, and data quality skills are required; the ability to build reports and leverage semantic models is secondary to data engineering excellence.<br> RESPONSIBILITIES Design and build extraction, transformation, and loading (ETL) pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools) Write optimized SQL queries and transformations for data ingestion from designated source systems Apply data quality rules and validation logic at each pipeline stage Implement incremental loads and manage refresh schedules for performance Escalate to Lead for architectural decisions or complex transformation patterns Define and implement data quality checks at ingestion, transformation, and output stages Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations Identify, document, and escalate data quality issues with root cause analysis Maintain data quality dashboards and SLA monitoring Support UAT for new data sources or transformation logic Build and maintain data transformations using Power Query, SQL, or Python as appropriate Develop dimensional models and define aggregation logic aligned with analytics requirements Optimize data structures for performance and maintainability Document transformation logic, lineage, and assumptions per team standards Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering Respond to data discrepancy reports from business users and analysts Maintain documentation of data sources, data dictionaries, and transformation specifications Support capacity planning and optimization of Fabric environments and pipelines Collaborate with Lead to define semantic models and calculated metric Advanced SQL — query optimization, window functions, performance tuning, debugging complex transformations Proficient with Microsoft Fabric — (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica) Strong understanding of relational database design and dimensional modeling Power Query / M — complex data shaping, merging, error handling, and transformation logic Python or similar scripting language — data manipulation, pipeline automation Git/version control basics — able to collaborate on code and track changes Data quality and testing frameworks — unit tests, assertions, validation rules Ability to interpret business requirements and design efficient data solutions Data governance mindset — understands data lineage, documentation, and quality standards Proactive about identifying edge cases and potential data issues Mortgage/lending domain familiarity preferred; willingness to learn domain required Works effectively within defined standards and escalates architectural questions to Lead Able to balance speed with quality; advocates for technical excellence</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Description:</strong><br>NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br><strong>Job Title</strong><br>Senior Data Engineer (Analytics &amp; Automation)<br><strong><strong>Job Summary</strong></strong><br>Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br><strong>Key Responsibilities</strong><br>Build Python-based automation, scalable data pipelines, and analytics frameworks<br>Develop reusable analytics modules (forecasting, anomaly detection, driver analysis)<br>Automate reporting, alerts, and insight generation<br>Design and develop interactive React-based analytics applications<br>Create scalable data models, standardized KPIs, and data marts<br>Ensure data quality and metric consistency<br>Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications<br>3+ years of experience in Analytics/Data roles<br>Strong SQL and Python skills<br>Experience working with large-scale datasets<br>Experience building data tools, dashboards, or applications<br>Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.)<br>Experience with React or web-based analytics tools (preferred)<br>Knowledge of AI/ML use cases in analytics is a plus<br>Bachelors degree required; MBA/MSc is a plus<br><strong>Required Skills:</strong><br>• Automation<br>• Business<br> </div>

<p><br></p><p>Position Overview We're seeking a Software Development Engineer to join our team in Cairo, Egypt. Key Responsibilities: Develop and maintain CI/CD pipelines to ensure continuous integration and automated deployments. Collaborate with development teams to ensure proper monitoring and alerting are in place. Automate repetitive tasks through scripting (e.g., Python, Bash) and configuration management tools (e.g., Ansible, Chef, Puppet). Ensure high availability and disaster recovery by managing backups, redundancy, and failover systems. Monitor system performance, troubleshoot issues, and optimize infrastructure performance. Support containerization and orchestration technologies (e.g., Docker, Kubernetes). Implement security best practices, including identity and access management (IAM), encryption, and network security. Implement infrastructure as code (IaC) using tools such as Terraform.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.</li><li>Knowledge of version control systems, including Git, GitHub, and GitLab.</li><li>Experience with containerization and orchestration technologies such as Docker and Kubernetes.</li><li>Strong scripting skills in languages such as Python, Bash, or similar.</li><li>Experience with monitoring and logging tools such as Prometheus, Grafana, and the ELK Stack.</li><li>Familiarity with configuration management tools such as Ansible, Chef, Puppet, or SaltStack.</li><li>Strong understanding of network protocols, security principles, and infrastructure security.</li></ul>

Position Overview Responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools todeliver scalable, automated BI solutions. The role involves designing data models, maintainingreporting infrastructure, and translating business needs into actionable insights. Collaborates withcross-functional teams to support decision-making through efficient data delivery and analysis.<br>Key Responsibilities(may perform other duties as requested, not specifically addressed in this document) Design, develop, and maintain ETLs, stored procedures, and database objects to supportreporting and data analysis. Build and manage scalable data solutions across multiple platforms, ensuring data integrity andperformance. Collaborate with business stakeholders to gather requirements and deliver actionable BIsolutions using SQL and Power BI. Translate business needs into technical specifications for data warehouse design and reportingautomation. Monitor and optimize data processes, automation, and reporting cycles to improve efficiencyand accuracy. Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs. Support continuous improvement initiatives by analyzing trends, identifying opportunities, andcontributing to PSP/DMAIC sessions. Participate in agile teams, cross-functional meetings, and change management efforts toensure smooth data operations. Promote BI adoption and knowledge sharing across departments, acting as a strategic liaisonbetween business and data teams.<br> Demonstrates strong collaboration skills and readily offers mentorship and support to teammembers when needed.<br>Required Qualifications Education and specific Training Bachelor’s degree (or in progress) in Computer Science, Data Science, Engineering, or a relatedtechnical field. Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, queryoptimization, and indexing. Solid understanding of data architecture, database management (SQL/NoSQL), and cloudplatforms (e.g., AWS, Azure). Work Experience 5 years and above experience in database analysis, reporting, and BI development using SQL,Power BI, and Excel, preferably in a call center or WFM environment. Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g.,star/snowflake schema, OLAP). Proficient in Microsoft Office; working knowledge of Power Apps and Flow is a plus. Practical experience with Python for data manipulation and automation. Soft Skills & Other Requirements Technical Skills Required: Advanced proficiency in Microsoft SQL Server, SSMS, and Power BI (including DAX). Experience with Python for data processing and automation. Solid understanding of data modeling (e.g., star/snowflake schema, OLAP) and statisticalanalysis. Strong communication skills and proficiency in English. Desirable: Experience with SSIS and SSAS. Knowledge of cloud data tools such as Azure Data Factory, Databricks, Google Big Query, and Dev Ops. Understanding of RPA fundamentals. Experience with Visual Basic, Macros, Power Apps, and Flow.<br>Competencies and specific skills• Analytical Ability• Achievement Orientation• Communication Skills• Continuous Improvement Mindset• Customer Orientation• Initiative Customer• Interpersonal Skills• Learning Abilities• Planning and Organization• Problem Solving• Management Capability• Teamwork<br>Decision Making Authority(Describe the authority permitted by the job by indicating examples that illustrate the typesof independent decisions expected by the incumbent and the types of decisions expected tobe recommended.) Decisions Expected• Extraction Data Flow Designs alongside DWH.• Optimal Query Designs.• Process Design & Implementation for Data Solutions geared towards the necessity of their Operations teams & Implementation of new Clients. Recommendations Expected• Optimal reporting options for internal operations.• SQL Performance improvement suggestions.• Internal BI & Data Manager Standard Operating Procedure Optimization.

Position Overview <br>The Business Intelligence Developer is responsible for designing, developing, and optimizing scalable data solutions using Microsoft SQL Server, Python, and Business Intelligence tools. This role focuses on building and maintaining data pipelines, reporting infrastructure, and analytical models that enable accurate, automated, and insight-driven decision-making. Working closely with cross-functional stakeholders, the BI Developer translates business requirements into technical solutions while ensuring data quality, system performance, and continuous process improvement.<br>Key Responsibilities(May perform additional duties as assigned.)<br>Design, develop, and maintain ETL processes, stored procedures, database objects, and data pipelines to support reporting and business analytics. Build, enhance, and maintain scalable data solutions across multiple platforms while ensuring data integrity, reliability, and optimal performance. Partner with business stakeholders to gather requirements and deliver impactful Business Intelligence solutions using Microsoft SQL Server and Power BI. Convert business requirements into technical specifications for data warehouse architecture, reporting solutions, and automation initiatives. Monitor, troubleshoot, and optimize data processes, reporting cycles, and automation workflows to improve operational efficiency and reporting accuracy. Manage and maintain ticketing systems, ensuring timely resolution of data-related requests in accordance with established service level agreements (SLAs). Contribute to continuous improvement initiatives by analyzing performance trends, identifying optimization opportunities, and participating in PSP/DMAIC activities. Collaborate within Agile teams and cross-functional projects, supporting change management and ensuring seamless data operations. Promote data literacy and Business Intelligence adoption across the organization by sharing knowledge and acting as a trusted partner between business and technical teams. Foster a collaborative work environment by providing guidance, mentorship, and support to team members when required.<br>Required Qualifications<br>Education<br>Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline. Strong knowledge of Microsoft SQL Server (2016 or later), including SQL Server Data Tools (SSDT), query optimization, indexing, and performance tuning. Solid understanding of database architecture, relational and NoSQL databases, and cloud data platforms such as Microsoft Azure or AWS.<br>Work Experience<br>Minimum of 5 years of experience in database development, reporting, and Business Intelligence solutions using Microsoft SQL Server, Power BI, and Microsoft Excel, preferably within a call center, workforce management (WFM), or operations environment. Proven expertise in Microsoft SQL Server, data modeling, and dimensional modeling techniques, including star and snowflake schemas and OLAP concepts. Proficiency with Microsoft Office applications; experience with Power Apps and Power Automate is an advantage. Hands-on experience using Python for data transformation, automation, and analysis.<br>Technical Skills<br>Required<br>Advanced proficiency in Microsoft SQL Server, SQL Server Management Studio (SSMS), and Power BI, including DAX. Strong programming skills in Python for data processing, automation, and reporting. Solid understanding of data modeling principles, dimensional modeling, OLAP concepts, and statistical analysis. Excellent communication and stakeholder management skills with strong written and spoken English proficiency.<br>Preferred Experience with SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS). Familiarity with cloud-based data platforms and services such as Azure Data Factory, Azure Databricks, Google Big Query, and Azure Dev Ops. Basic understanding of Robotic Process Automation (RPA) concepts. Experience with Visual Basic, VBA Macros, Power Apps, and Power Automate.

Position Overview <br>The Business Intelligence Developer is responsible for designing, developing, and optimizing scalable data solutions using Microsoft SQL Server, Python, and Business Intelligence tools. This role focuses on building and maintaining data pipelines, reporting infrastructure, and analytical models that enable accurate, automated, and insight-driven decision-making. Working closely with cross-functional stakeholders, the BI Developer translates business requirements into technical solutions while ensuring data quality, system performance, and continuous process improvement.<br>Key Responsibilities(May perform additional duties as assigned.)<br>Design, develop, and maintain ETL processes, stored procedures, database objects, and data pipelines to support reporting and business analytics. Build, enhance, and maintain scalable data solutions across multiple platforms while ensuring data integrity, reliability, and optimal performance. Partner with business stakeholders to gather requirements and deliver impactful Business Intelligence solutions using Microsoft SQL Server and Power BI. Convert business requirements into technical specifications for data warehouse architecture, reporting solutions, and automation initiatives. Monitor, troubleshoot, and optimize data processes, reporting cycles, and automation workflows to improve operational efficiency and reporting accuracy. Manage and maintain ticketing systems, ensuring timely resolution of data-related requests in accordance with established service level agreements (SLAs). Contribute to continuous improvement initiatives by analyzing performance trends, identifying optimization opportunities, and participating in PSP/DMAIC activities. Collaborate within Agile teams and cross-functional projects, supporting change management and ensuring seamless data operations. Promote data literacy and Business Intelligence adoption across the organization by sharing knowledge and acting as a trusted partner between business and technical teams. Foster a collaborative work environment by providing guidance, mentorship, and support to team members when required.<br>Required Qualifications<br>Education<br>Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline. Strong knowledge of Microsoft SQL Server (2016 or later), including SQL Server Data Tools (SSDT), query optimization, indexing, and performance tuning. Solid understanding of database architecture, relational and NoSQL databases, and cloud data platforms such as Microsoft Azure or AWS.<br>Work Experience<br>Minimum of 5 years of experience in database development, reporting, and Business Intelligence solutions using Microsoft SQL Server, Power BI, and Microsoft Excel, preferably within a call center, workforce management (WFM), or operations environment. Proven expertise in Microsoft SQL Server, data modeling, and dimensional modeling techniques, including star and snowflake schemas and OLAP concepts. Proficiency with Microsoft Office applications; experience with Power Apps and Power Automate is an advantage. Hands-on experience using Python for data transformation, automation, and analysis.<br>Technical Skills<br>Required<br>Advanced proficiency in Microsoft SQL Server, SQL Server Management Studio (SSMS), and Power BI, including DAX. Strong programming skills in Python for data processing, automation, and reporting. Solid understanding of data modeling principles, dimensional modeling, OLAP concepts, and statistical analysis. Excellent communication and stakeholder management skills with strong written and spoken English proficiency.<br>Preferred Experience with SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS). Familiarity with cloud-based data platforms and services such as Azure Data Factory, Azure Databricks, Google Big Query, and Azure Dev Ops. Basic understanding of Robotic Process Automation (RPA) concepts. Experience with Visual Basic, VBA Macros, Power Apps, and Power Automate.

<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 and innovative Senior AI Developer to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and data engineering, with a strong foundation in Python and modern AI frameworks. You will collaborate with cross-functional teams to build intelligent systems that solve real-world problems and drive business value.</p><p>Responsibilities:</p><ul><li>Design, develop, and deploy scalable AI/ML models for classification, prediction, recommendation, NLP, or computer vision tasks.</li><li>Collaborate with data scientists, engineers, and product teams to define AI solution requirements and architecture.</li><li>Build and maintain machine learning pipelines, from data ingestion to model serving.</li><li>Optimize model performance, accuracy, and efficiency for production environments.</li><li>Conduct research and stay current with the latest advancements in AI, ML, and deep learning.</li><li>Lead AI-related projects and mentor junior developers or data scientists.</li><li>Ensure AI solutions are explainable, ethical, and aligned with organizational goals.</li><li>Integrate AI models into web, mobile, or enterprise applications using APIs or microservices.</li><li>Document models, workflows, and decision logic for transparency and reproducibility.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li></ul><p>Preferred (Nice-to-Have):</p><ul><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p>Apply</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br>You are about to apply for a job in a certified Top Employer 2025! <br>Ready to be part of one of the Market Leaders in Egypt? Apply now!<br>Raya Holding for Financial Investments is hiring Financial Analyst (Machine Learning Project) <strong>6-Month Contract.</strong><br> <br>What will you do?<br>• Design and implement machine learning models to enhance budget forecasting, scenario analysis, and cost predictions.<br>• Automate key budgeting processes, including data consolidation, variance analysis, and commentary generation.<br>• Develop dynamic reporting dashboards and tools to support real-time financial performance monitoring.<br>• Integrate ML models into financial systems (e.g., Oracle EPM, SAP BPC, Power BI) for seamless data flow and user access.<br>• Streamline financial reporting by building ETL pipelines that extract, clean, and transform financial data automatically.<br>• Collaborate with FP&amp;A, accounting, and IT teams to identify opportunities for automation and improve process efficiency.<br>• Maintain detailed documentation of models, assumptions, and system integrations for audit and stakeholder review.<br>• Monitor model performance and continuously improve accuracy, scalability, and reliability.<br><b>Skills Description</b><br>What will you need?<br>• Bachelor's or Master's degree in Data Science, Finance, Computer Science, Statistics, or a related discipline.<br>• Proficient in Python (pandas, NumPy, scikit-learn) and SQL; experience with Power BI or Tableau preferred.<br>• Solid understanding of budgeting cycles, financial statements, and variance analysis.<br>• Experience with enterprise performance management platforms (e.g., Oracle EPM).<br>• Strong knowledge of ML algorithms (regression, classification, time-series, anomaly detection).<br>• Familiarity with automation frameworks and APIs .<br>• Ability to communicate complex technical solutions to non-technical finance stakeholders.<br>Preferred Skills:<br>• Experience building automation tools for finance teams.<br>• Working knowledge of financial KPIs, forecasting models, and reporting standards.<br>• Exposure to cloud platforms for data storage and ML model deployment.<br> <br>Key Deliverables:<br>• Automated budgeting and reporting workflows reducing manual effort and cycle time.<br>• Machine learning models embedded in financial planning processes with proven forecast accuracy improvement.<br>• Interactive, real-time dashboards that enhance business unit performance tracking and decision-making.<br> <br>What is unique about Raya?<br>• Are you an eager learner? Raya believes in its employees, so we aim to continuously provide learning &amp; development plans for all of our employees to ensure their personal and career development.<br>• Are you looking for career progression? Raya is an entity where you can grow whether horizontally or vertically as we offer internal transfer opportunities.<br>• Are you looking for a rewarding environment? Raya's top achievers are awarded annually with an international 5 days trip.<br>• Are you looking for an opportunity to give back to the community? Raya encourages their employees to give back to the community through different ongoing CSR programs and initiatives.<br>• Are you a foodie? Exclusive discounts for Raya employees at Raya's Restaurants.<br><b>Job Details</b><br>Job Title<br> <br>Financial Analyst (Machine Learning Project)<br>Job Country<br> <br>Egypt<br>Job City<br> <br>Cairo<br>Job Role<br> <br>Accounting/Banking/Finance<br><b>Preferred Candidate</b><br>Career Level<br> <br>Mid Career<br><b>Raya Holding for Financial Investments</b><br> <br> Investment, Securities &amp; Funds Egypt 500 employees or more +123.1.234.567 https://rayacorp.com/ <br>Raya Holding for Financial Investments, a leading investment conglomerate, was established in 1999 in Egypt with a vision to be a market leader and to grow into a solid financial conglomerate with multifaceted operations. Headquartered in Cairo, Egypt, Raya Holding is managing a diversified investment portfolio of 13 lines of business in the various industries of e-payment, information technology, contact center, smart buildings, consumer electronics, food and beverage, land transport, PET remanufacturing and FMCG. Raya Holding is listed in the Egyptian Exchange (EGX) since 2005, while the company empowers more than 12,000 proficient employees, accommodating to a wide international customer base from offices based in Egypt, Saudi Arabia, UAE, Qatar, Poland, Nigeria and Tanzania. Raya's Lines of Business include: Aman for e-payments, Aman for Financial Services, Ostool, Raya Customer Experience, Raya Foods, Raya Information Technology, Raya Food Trading, Raya Restaurants, Raya Smart Buildings, Raya Trade, Raya Auto and Haier - Raya Electric. <br><b>Similar Jobs</b><br>See All<br> </div>

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p><p>What this opportunity involves</p><p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><ul><li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li><li>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</li><li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</li><li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li></ul><p>What this is NOT</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Senior Linux System Administrators with strong hands-on experience in Red Hat Enterprise Linux (RHEL) and Kubernetes to administer and support the infrastructure underpinning an HPC environment.<br> The role focuses on system reliability, security, performance, automation, and availability .<br> Key Responsibilities Administer and maintain RHEL/Linux servers and HPC compute nodes .<br> Install, configure, patch, upgrade, and troubleshoot Linux operating systems .<br> Manage and support Kubernetes clusters, nodes, and workloads .<br> Perform Linux performance tuning, system hardening, and troubleshooting .<br> Monitor system health, capacity, performance, and availability .<br> Automate infrastructure administration using Ansible, Shell scripting, Python , or similar tools.<br> Support integration between compute, storage, networking, Kubernetes, and HPC platforms .<br> Troubleshoot complex Linux, Kubernetes, and infrastructure issues.<br> Implement security best practices across Linux and Kubernetes environments.<br> Support incident resolution, root-cause analysis, and preventive actions.<br> Maintain system configurations, technical documentation, and operational procedures.<br> Strong hands-on experience as a Linux System Administrator / Linux Engineer / RHEL Administrator .<br> Expert-level administration of Red Hat Enterprise Linux (RHEL) .<br> Strong experience with Kubernetes administration and cluster management .<br> Experience supporting HPC environments / compute clusters is highly preferred.<br> Strong knowledge of: RHEL / Linux Kubernetes Linux performance tuning Linux patching and hardening System monitoring Troubleshooting Capacity management Strong automation/scripting experience with Ansible, Shell/Bash, Python , etc.<br> Experience integrating compute, storage, and networking infrastructure .<br> RHCE – Red Hat Certified Engineer: Mandatory CKA – Certified Kubernetes Administrator: Preferred</span> </div>

<ul><li><p>الواجهات الأمامية: HTML, CSS, JavaScript وإطارات العمل مثل React.js أو Next.js.</p></li><li><p>الواجهات الخلفية وخوادم التشغيل: Node.js, Python/Django, أو PHP/Laravel.</p></li><li><p>قواعد البيانات: التعامل مع SQL (مثل PostgreSQL أو MySQL) وNoSQL (مثل MongoDB).</p></li><li><p>أدوات الإدارة والرفع: Git، نظام تحكم النسخ، وأساسيات الخوادم السحابية (AWS) والحاويات (Docker)</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p><strong>الأساسيات:</strong> HTML5, CSS3, JavaScript (ES6+).</p></li><li><p><strong>أطر العمل والمكتبات (Frameworks/Libraries):</strong> إتقان أحد الأطر الحديثة مثل React.js, Vue.js, أو Angular (مع زيادة الطلب على إطار Next.js أو Nuxt.js لتطوير واجهات متقدمة وداعمة للـ SEO).</p></li><li><p><strong>أدوات التنسيق وتجربة المستخدم:</strong> Tailwind CSS, Bootstrap, أو Sass لتصميم واجهات متجاوبة (Responsive Design) تعمل على مختلف الشاشات.</p></li><li><p><strong>إدارة الحالة (State Management):</strong> Redux, Zustand, أو Context API.<br><strong>Node.js / Express.js / NestJS</strong> (الأكثر طلباً للربط المباشر مع JavaScript/TypeScript).</p></li><li><p><strong>Python</strong> (Django أو Flask).</p></li><li><p><strong>PHP</strong> (Laravel).</p></li><li><p><strong>C#</strong> (.NET Core) أو <strong>Java</strong> (Spring Boot).</p></li></ul><ul><li><p><strong>واجهات برمجة التطبيقات (APIs):</strong> تصميم وبناء RESTful APIs و GraphQL، ومعالجة Webhooks.<br><strong>قواعد البيانات العلائقية (Relational / SQL):</strong> PostgreSQL, MySQL.</p></li><li><p><strong>قواعد البيانات غير العلائقية (NoSQL):</strong> MongoDB, Redis (للتخزين المؤقت - Caching).</p></li><li><p><strong>أدوات إدارة قواعد البيانات (ORMs):</strong> Prisma, TypeORM, Mongoose, أو Sequelize.<br><strong>دارة النسخ البرمجية:</strong> إتقان Git و GitHub/GitLab لتتبع التغييرات والعمل مع الفرق.</p></li><li><p><strong>النشر والسحابة (Deployment &amp; Cloud):</strong> فهم أساسيات التعامل مع خدمات مثل AWS, Vercel, Render, أو Docker لتجميع ونشر التطبيقات.</p></li><li><p><strong>الأمان (Security Fundamentals):</strong> حماية التطبيقات من الثغرات الشائعة (مثل CORS, CSRF, XSS, SQL Injection) وتطبيق آليات المصادقة (JWT, OAuth).</p></li></ul><p></p>

<ul><li><p>الواجهات الأمامية: HTML, CSS, JavaScript وإطارات العمل مثل React.js أو Next.js.</p></li><li><p>الواجهات الخلفية وخوادم التشغيل: Node.js, Python/Django, أو PHP/Laravel.</p></li><li><p>قواعد البيانات: التعامل مع SQL (مثل PostgreSQL أو MySQL) وNoSQL (مثل MongoDB).</p></li><li><p>أدوات الإدارة والرفع: Git، نظام تحكم النسخ، وأساسيات الخوادم السحابية (AWS) والحاويات (Docker)</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p><strong>الأساسيات:</strong> HTML5, CSS3, JavaScript (ES6+).</p></li><li><p><strong>أطر العمل والمكتبات (Frameworks/Libraries):</strong> إتقان أحد الأطر الحديثة مثل React.js, Vue.js, أو Angular (مع زيادة الطلب على إطار Next.js أو Nuxt.js لتطوير واجهات متقدمة وداعمة للـ SEO).</p></li><li><p><strong>أدوات التنسيق وتجربة المستخدم:</strong> Tailwind CSS, Bootstrap, أو Sass لتصميم واجهات متجاوبة (Responsive Design) تعمل على مختلف الشاشات.</p></li><li><p><strong>إدارة الحالة (State Management):</strong> Redux, Zustand, أو Context API.<br><strong>Node.js / Express.js / NestJS</strong> (الأكثر طلباً للربط المباشر مع JavaScript/TypeScript).</p></li><li><p><strong>Python</strong> (Django أو Flask).</p></li><li><p><strong>PHP</strong> (Laravel).</p></li><li><p><strong>C#</strong> (.NET Core) أو <strong>Java</strong> (Spring Boot).</p></li></ul><ul><li><p><strong>واجهات برمجة التطبيقات (APIs):</strong> تصميم وبناء RESTful APIs و GraphQL، ومعالجة Webhooks.<br><strong>قواعد البيانات العلائقية (Relational / SQL):</strong> PostgreSQL, MySQL.</p></li><li><p><strong>قواعد البيانات غير العلائقية (NoSQL):</strong> MongoDB, Redis (للتخزين المؤقت - Caching).</p></li><li><p><strong>أدوات إدارة قواعد البيانات (ORMs):</strong> Prisma, TypeORM, Mongoose, أو Sequelize.<br><strong>دارة النسخ البرمجية:</strong> إتقان Git و GitHub/GitLab لتتبع التغييرات والعمل مع الفرق.</p></li><li><p><strong>النشر والسحابة (Deployment &amp; Cloud):</strong> فهم أساسيات التعامل مع خدمات مثل AWS, Vercel, Render, أو Docker لتجميع ونشر التطبيقات.</p></li><li><p><strong>الأمان (Security Fundamentals):</strong> حماية التطبيقات من الثغرات الشائعة (مثل CORS, CSRF, XSS, SQL Injection) وتطبيق آليات المصادقة (JWT, OAuth).</p></li></ul><p></p>

<p>We are looking for an experienced <strong>AI Engineer</strong> to design, develop, and deploy AI-powered solutions that address business needs and improve operational efficiency.</p><p><strong>Requirements</strong></p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Design, develop, and deploy <strong>AI and Machine Learning solutions</strong>.</p></li><li><p>Develop and integrate <strong>Generative AI and Large Language Models (LLMs)</strong> into business applications.</p></li><li><p>Build and optimize <strong>Machine Learning and Deep Learning models</strong>.</p></li><li><p>Work with <strong>Python, ML frameworks, APIs, and AI development tools</strong>.</p></li><li><p>Develop AI-powered applications such as <strong>chatbots, recommendation systems, automation solutions, and intelligent assistants</strong>.</p></li><li><p>Process, analyze, and prepare large datasets for AI/ML model development.</p></li><li><p>Evaluate model performance and continuously improve accuracy, reliability, and scalability.</p></li><li><p>Integrate AI models with existing enterprise systems and applications.</p></li><li><p>Collaborate with <strong>Data Scientists, Software Engineers, Product Managers, and business stakeholders</strong>.</p></li><li><p>Deploy and monitor AI solutions in production environments.</p></li><li><p>Stay up to date with the latest developments in <strong>Generative AI, LLMs, NLP, and Machine Learning</strong>.</p></li></ul><p><strong>Requirements:</strong></p><ul><li><p>Proven experience as an <strong>AI Engineer, Machine Learning Engineer, or similar role</strong>.</p></li><li><p>Strong programming skills in <strong>Python</strong>.</p></li><li><p>Hands-on experience with <strong>Machine Learning and Deep Learning</strong> frameworks such as <strong>PyTorch, TensorFlow, or Scikit-learn</strong>.</p></li><li><p>Experience with <strong>Generative AI, LLMs, Prompt Engineering, and AI APIs</strong>.</p></li><li><p>Good knowledge of <strong>NLP, embeddings, vector databases, and RAG architectures</strong>.</p></li><li><p>Experience with <strong>REST APIs, cloud platforms, and AI deployment</strong> is preferred.</p></li><li><p>Strong understanding of data structures, algorithms, and software engineering principles.</p></li><li><p>Strong analytical and problem-solving skills.</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team.<br> The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python.<br> If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment.<br> If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives.<br> Responsibilities: Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments.<br> Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies.<br> Proficiency in scripting languages such as Bash, Python for automation and performance tuning.<br> Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking.<br> Configure and maintain firewalls, load balancers, and VPNs.<br> Proven ability to troubleshoot complex system and networking issues in large-scale clusters.<br> Install and utilize monitoring tools to ensure the health, performance, and security of systems.<br> Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions.<br> Apply knowledge of cybersecurity best practices to enhance the security posture of systems.<br> Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment.<br> Possess a good understanding of the software development lifecycle to collaborate effectively with development teams.<br> Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.<br>5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi Social insurance Bachelor's degree in Computer Science, Information Technology, or a related field with 8+ years of experience.<br> Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies.<br> Strong knowledge and hands-on experience with Docker containers and Kubernetes.<br> Interaction with at least one major cloud provider (AWS, Azure, or Google).<br> Understanding and application of cybersecurity principles.<br> Proficiency in infrastructure-as-code tools like Terraform and Ansible.<br> Excellent scripting skills in Bash and Python.<br> Familiarity with the software development lifecycle.<br> Strong knowledge of Linux operating systems.<br> Preferred Experience: CKA/CKAD/CKS certification.<br> Certifications in relevant DevOps, cloud, and cybersecurity domains.<br> Additional scripting languages and automation tool proficiency.<br> Active participation in community forums or open-source projects.<br></span> </div>

<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><span>Key Responsibilities</span></p><br><br><ul><li><span>Design and maintain test strategies for AI-powered products, APIs, and web applications.</span></li><li><span>Build and improve automation frameworks using Python.</span></li><li><span>Develop UI automation using Selenium and/or Playwright.</span></li><li><span>Create and maintain automated API and end-to-end test coverage.</span></li><li><span>Integrate automated tests into GitHub Actions pipelines.</span></li><li><span>Support test execution on GCP instances.</span></li><li><span>Validate releases across DEV, ACP, and PROD environments.</span></li><li><span>Evaluate AI outputs for accuracy, reliability, context adherence, and business usefulness.</span></li><li><span>Partner with product, engineering, and stakeholders to ensure quality is measured against real business needs.</span></li><li><span>Contribute to shift-left quality practices, release readiness, and continuous improvement.</span></li></ul><p><span>Professional Experience &amp; Requirements</span></p><br><br><ul><li><span>Bachelor’s degree in Computer Engineering, Computer Science, Electronics, Mechatronics, Communications, or a related field.</span></li><li><span>3+ years of experience in software testing, test automation, or systems testing.</span></li><li><span>Strong Python scripting and automation skills.</span></li><li><span>Hands-on experience with Selenium and/or Playwright.</span></li><li><span>Solid background in API testing and automated regression.</span></li><li><span>Experience with GitHub Actions or similar CI/CD tools.</span></li><li><span>Familiarity with cloud-based testing, preferably on GCP.</span></li><li><span>Understanding of AI/GenAI concepts, LLM behavior, prompt testing, or RAG is a strong plus.</span></li><li><span>Ability to think beyond acceptance criteria and evaluate product quality from a business perspective.</span></li></ul><p><span>Nice to Have</span></p><br><br><ul><li><span>Experience testing chatbot, or workflow applications.</span></li><li><span>Exposure to AI evaluation methods or LLM benchmarking.</span></li><li><span>Experience with DEV / ACP / PROD release flows.</span></li><li><span>ISTQB certification or equivalent quality training.</span></li><li><span>Experience testing SDKs, orchestration layers, or cloud-native applications.</span></li></ul><p><span>Why Join Us</span></p><br><br><ul><li><span>Work on advanced AI products with real business impact.</span></li><li><span>Help shape the quality strategy of a growing AI platform.</span></li><li><span>Work in a modern engineering setup with Python, GitHub Actions, and GCP.</span></li><li><span>Join a team that values ownership, curiosity, and quality thinking.</span></li></ul><p><b>Job:</b></p><br><br>AI4all<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><p><b>Job Posting Date:</b></p><br><br>2026-08-05<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>

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

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

About Valify Solutions<br>Valify is a leading Reg Tech company specializing in digital identity verification and compliance automation. We enable financial institutions, fintechs, and large enterprises to securely onboard customers, mitigate risk, and comply with evolving regulatory standards through advanced AI-powered solutions. As we continue to expand across the region, we are seeking a skilled and driven Marketing Specialist to join our team and support our growth initiatives.<br><br>Role Overview:<br>Are you a technical problem solver with a passion for building strong customer relationships? Do you thrive in a fast-paced environment where you can wear multiple hats? If so, our Technical Customer Success Engineer role at Valify might be the perfect fit for you! In this role, you will play a pivotal role in the onboarding, support, and success of our customer accounts, ensuring they derive maximum value from our solutions.<br><br>Key Responsibilities:<br>Customer Engagement:Act as a trusted advisor to a portfolio of customer accounts, guiding them through onboarding, technical support, and ongoing success initiatives. Collaborate closely with the sales team to provide technical expertise during Proof-of-Concepts (POCs) and ensure successful customer adoption of Valify solutions. Technical Expertise:Develop and customize Python scripts and API integrations tailored to meet specific customer requirements, enhancing service flexibility and functionality. Lead the deployment and integration of Valify services across various environments (Cloud, On-premise), ensuring seamless implementation and optimal performance. Data Analysis and Documentation:Conduct data analysis for assigned accounts to identify trends, opportunities for improvement, and ensure alignment with customer success metrics (e.g., NPS, CSAT). Create custom documentation and clear flowcharts to document customer environments, use cases, and solution configurations.<br><br>Requirements:<br>Bachelor’s degree in Computer Science, Engineering, or related technical field.5-8 years of experience in a customer success or technical account management role, preferably in a technology or Saa S company. Proficiency in Python scripting, API integrations, and cloud technologies (AWS, Azure). Strong analytical skills with experience in data analysis, spreadsheet management. Excellent communication and interpersonal skills, with a proven ability to build and maintain strong customer relationships. Experience with technical documentation and flowchart creation is a plus.