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Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support development and testing of software applications.
 </li>
 <li>
 Assist in implementing and documenting AI/ML solutions.
 </li>
 <li>
 Contribute to data collection, analysis, and reporting tasks.
 </li>
 <li>
 Collaborate with senior engineers on ongoing projects.
 </li>
 <li>
 Participate in team meetings, knowledge-sharing sessions, and technical reviews.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Current undergraduate student (3rd or 4th year preferred) in Computer sciences &amp; AI.
 </li>
 <li>
 Foundational knowledge in one or more of the following~
 </li>
 <ul>
 <li>
 Programming languages (Python, Java, or C++).
 </li>
 <li>
 Database management (SQL/NoSQL).
 </li>
 <li>
 AI/ML fundamentals (preferred but not required).
 </li>
 <li>
 Software development concepts (OOP, SDLC).
 </li>
 </ul>
 <li>
 Familiarity with Git or other version control systems (a plus).
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to learn quickly and work collaboratively.
 
 </li>
 </ul>
 
 Program Details
 
 
 
 <ul>
 <li>
 Duration~ 2 months, with renewal possibility based on performance and program needs.
 </li>
 <li>
 Status~ Full time or 4 days/week.
 </li>
 <li>
 Location~ On-site.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Site Human Resources
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 Alternant (dur&eacute;e d&eacute;termin&eacute;e)
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-09-01
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 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
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Apprentice Program (AI & Software Applications)

Oracle

<div>
 
 Job Description
 
 
 
 As a member of Oracle&rsquo;s Customer Success Services (CSS) organization, your primary role will be to provide post-sales support and cutting-edge AI solutions to Oracle&rsquo;s customer base, while continuously advocating for their needs. You will be responsible for managing and supporting customer environments on Oracle Cloud Infrastructure (OCI) and offering expert guidance to design, build, and deploy intelligent solutions that optimize the performance, availability, and security of Oracle cloud environments.
 
 
 We are seeking a skilled and self-motivated Lead Cloud Architect with a strong blend of architectural design, implementation experience, and advanced artificial intelligence (AI) and machine learning (ML) skills across Oracle Cloud Infrastructure (OCI) and generative AI solutions. The ideal candidate is a forward-thinking IT professional with at least 10 years of industry experience, passionate about AI/ML, and capable of independently addressing complex technical challenges. Prior experience in architecting and automating large-scale infrastructure solutions, preferably on OCI or similar cloud platforms, is essential.
 
 
 Career Level: IC4
 
 
 
 Responsibilities
 
 
 
 The Lead Cloud Architect (LCA) &amp; AI specialist will deliver best-in-class services to CSS customers running solutions on both private and public cloud environments.
 
 
 <ul>
 <li>
 Collaborate with customers and Oracle Sales to capture business and industry requirements, translating them into technical architectures aligned with Oracle&rsquo;s best practices and service delivery standards.
 </li>
 <li>
 Apply industry and Oracle best practices to provide technical guidance on Oracle Cloud and generative AI solutions.
 </li>
 <li>
 Lead and influence architectural design, capacity planning, optimization, and operation of customer solutions on OCI.
 </li>
 <li>
 Design and build scalable infrastructure to deploy generative AI models, efficiently managing compute resources.
 </li>
 <li>
 Lead and mentor highly experienced CSS delivery teams, providing technical governance and guidance.
 </li>
 <li>
 Maintain market awareness of competitor technologies as well as emerging industry trends.
 </li>
 <li>
 Play a leading role in automating cloud infrastructure implementations using the latest cloud capabilities.
 </li>
 <li>
 Support life cycle operations and maintenance activities in OCI.
 </li>
 <li>
 Drive initiatives to mitigate failures and troubleshoot issues across the entire infrastructure stack.
 </li>
 <li>
 Configure and tune system and network parameters for optimal performance.
 </li>
 <li>
 Monitor and ensure system stability and overall performance.
 </li>
 <li>
 Identify and implement enhancements for the health, scalability, and resiliency of cloud services.
 </li>
 <li>
 Document infrastructure architecture, configurations, standards, and processes.
 </li>
 <li>
 Serve as the primary contact for new business opportunities, supporting the CSS pre-sales team by identifying and promoting opportunities for Oracle products and services to support business growth.
 
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field required.
 </li>
 <li>
 Enterprise Design/Architecture Framework experience (e.g., TOGAF) is highly desirable.
 </li>
 <li>
 Minimum 10 years of experience as a Senior Cloud Architect delivering enterprise solutions or transformation programs, ideally targeting cloud technologies
 </li>
 <li>
 Deep experience in various aspects of designing and provisioning Oracle Cloud services, including architectural decisions, overseeing security aspects, and helping the team through the OCI transformation processes:
 </li>
 <ul>
 <li>
 Architecture Design: Develop and design robust and scalable Oracle Cloud solutions based on business requirements, ensuring optimal performance, security, and reliability.
 </li>
 <li>
 Implementation: Lead the implementation and deployment of Oracle Cloud infrastructure, services, and applications, following best practices and standards.
 </li>
 <li>
 Cloud Migration: Collaborate with teams to plan and execute the migration of on-premises systems and applications to the Oracle Cloud platform.
 </li>
 <li>
 Security Assurance: Ensure the security of Oracle Cloud environments by implementing and enforcing security policies, access controls, and encryption mechanisms.
 </li>
 <li>
 Performance Optimization: Monitor and optimize Oracle Cloud resources to enhance system performance, responsiveness, and cost efficiency.
 </li>
 </ul>
 <li>
 Proficient in Artificial Intelligence (AI) and Machine Learning (ML):
 </li>
 <ul>
 <li>
 Experience with GenAI, machine learning, data science, language models (LLMs), and/or LangChain.
 </li>
 <li>
 Proven ability to design, build, and deploy advanced machine learning or generative AI systems&mdash;especially focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search solutions.
 </li>
 <li>
 Ability to translate business requirements into robust AI or ML models.
 </li>
 </ul>
 <li>
 Strong experience with automation, DevOps, and GitOps practices, including:
 </li>
 <ul>
 <li>
 Container technologies (e.g., Docker, Kubernetes)
 </li>
 <li>
 Git-based source control systems (e.g., Bitbucket, GitHub, GitLab)
 </li>
 <li>
 CI/CD tools (e.g., Jenkins)
 </li>
 <li>
 Infrastructure as Code tools (e.g., Terraform, Ansible)
 </li>
 <li>
 Experience with cloud provider CI/CD offerings (e.g., OCI, Azure, AWS)
 
 </li>
 </ul>
 </ul>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
 
 
 When everyone&rsquo;s voice is heard, we&rsquo;re inspired to go beyond what&rsquo;s been done before. It&rsquo;s why we&rsquo;re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
 
 
 We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
 
 
 Disclaimer:
 
 
 Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

CSS - Lead Cloud Architect & AI specialist (Cairo)

Contellect Technologies Inc.

<div>
 
 We are seeking an experienced AI Engineer with a strong background in Retrieval-Augmented Generation (RAG) processes, function calling, Python programming, API integration, fine-tuning, and a deep understanding of Arabic content and its unique challenges. The ideal candidate will have a proven track record of delivering high-quality AI projects to real clients and will be adept at navigating the intricacies of Arabic language processing.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and implement AI solutions utilizing Retrieval-Augmented Generation (RAG) methodologies to enhance information retrieval and generation processes.
 
 </li>
 <li>
 Develop and deploy AI/ML solutions on cloud platforms.
 
 </li>
 <li>
 Program custom RAG applications to enhance capabilities for chatbots, document analysis, and image recognition.
 
 </li>
 <li>
 Utilize AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn for model development.
 
 </li>
 <li>
 Manage cloud infrastructure and data pipelines for AI/ML applications.
 
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI functionalities into existing systems through robust API integrations.
 
 </li>
 <li>
 Conduct fine-tuning of pre-trained models to adapt them to specific client requirements, ensuring optimal performance and accuracy.
 
 </li>
 <li>
 Address and overcome challenges associated with processing and generating Arabic content, ensuring cultural and linguistic nuances are accurately handled.
 
 </li>
 <li>
 Stay updated with the latest advancements in AI technologies and propose innovative solutions to improve our offerings.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
 
 </li>
 <li>
 3+ years of experience in developing and deploying AI/ML solutions.
 
 </li>
 <li>
 Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
 
 </li>
 <li>
 Proven experience in implementing Retrieval-Augmented Generation (RAG) processes in real-world projects.
 
 </li>
 <li>
 Demonstrated ability to deliver high-quality AI projects to clients, meeting specified requirements and timelines.
 
 </li>
 <li>
 Experience with function calling and its application in AI projects to enhance model capabilities.
 
 </li>
 <li>
 Strong expertise in Python programming, with a focus on developing scalable and efficient code.
 
 </li>
 <li>
 Experience in integrating APIs to enhance AI system functionalities and data accessibility.
 
 </li>
 <li>
 Proficiency in fine-tuning AI models to improve performance on specific tasks or datasets.
 
 </li>
 <li>
 Excellent problem-solving skills and the ability to work collaboratively in a team environment.
 
 </li>
 <li>
 Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
 
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with large language models (LLMs) and transformer architectures.
 
 </li>
 <li>
 Knowledge of cloud infrastructure management and data preprocessing for AI/ML.
 
 </li>
 <li>
 Familiarity with RAG applications, API integration, and containerization (Docker, Kubernetes).
 
 </li>
 <li>
 Strong problem-solving skills and excellent communication abilities.
 
 </li>
 </ul>
</div>

AI Engineer

DXC Technology

<div>
 
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 </li>
 </ul>
 
 
 🔹 Advanced Analytics &amp; ML
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 </li>
 </ul>
 
 
 🔹 GenAI Enablement
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 </li>
 </ul>
 
 
 🔹 Collaboration &amp; Business Engagement
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 </li>
 </ul>
 
 
 🔹 Quality, Testing &amp; Governance
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 </li>
 </ul>
 
 
 Required Skills And Experience
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 </li>
 </ul>
 
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
 
</div>

Data Scientist

Interact Technology Solutions

<div>
 
 &reg; Job Summary:
 
 
 
 
 
 
 The AI Engineer will be responsible for building practical and scalable GenAI applications&mdash;including chatbots, RAG systems, and AI agents&mdash;supported by reliable data pipelines and rigorous evaluation frameworks. The role focuses on delivering high-quality, production-ready AI solutions that meet enterprise needs.
 
 
 
 
 
 
 &reg; Accountability &amp; Responsibilities
 
 
 
 
 
 
 &middot; Develop end-to-end GenAI applications, including chatbots, RAG systems, and autonomous agents.
 
 
 
 &middot; Build and maintain data pipelines, embeddings, and vector search infrastructure.
 
 
 
 &middot; Conduct prompt engineering, testing, and evaluation to improve model performance.
 
 
 
 &middot; Implement and integrate REST/GraphQL APIs for backend and frontend interfaces.
 
 
 
 &middot; Create rapid prototypes and proof-of-concept (POC) applications for internal and client use.
 
 
 
 &middot; Ensure clean, maintainable code and deliver comprehensive documentation.
 
 
 
 &middot; Collaborate with data teams, product teams, and senior AI architects to refine solutions.
 
 
 
 &middot; Monitor system performance, troubleshoot issues, and apply continuous improvements.
 
 
 
 &middot; Follow governance, security, and compliance requirements for AI deployments.
 
 
 
 
 
 Requirements
 
 
 
 
 1
 
 &ndash; Required Experience
 
 
 &middot; Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 
 <ul>
 <li>
 3&ndash;6 years of experience in AI software engineering, ML engineering, or data engineering.
 
 </li>
 <li>
 Delivered at least two AI applications into production.
 
 </li>
 </ul>
 
 
 2
 
 &ndash; Technical Skills:
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python, LangChain, LlamaIndex, and vector databases (Qdrant, Milvus).
 
 
 </li>
 <li>
 
 
 Hands-on experience with
 
 embeddings, similarity search, and RAG pipelines.
 
 
 </li>
 <li>
 
 
 Strong foundations in prompt engineering and model evaluation.
 
 </li>
 <li>
 
 
 Ability to design and integrate
 
 REST/GraphQL APIs.
 
 
 </li>
 <li>
 
 
 Basic front-end development experience for
 
 POCs (React, HTML/CSS, or similar).
 
 
 </li>
 <li>
 Familiar with
 
 Git/GitHub, Docker, Jupyter/VS Code, and Postman.
 
 
 </li>
 </ul>
 
 
 3
 
 &ndash; Certifications:
 
 
 <ul>
 <li>
 
 NVIDIA AI Developer
 
 (Preferred)
 
 </li>
 <li>
 
 Cloud AI Architect &ndash; Azure / AWS / GCP
 
 (Plus)
 
 
 
 
 
 
 </li>
 </ul>
</div>

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 
 Job Description
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 
 <ul>
 <li>
 Deploy advanced machine learning models and AI-driven solutions across cloud environments.
 </li>
 <li>
 Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 
 
 </li>
 </ul>
 
 Cloud &amp; Data Engineering
 
 
 
 <ul>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 
 
 </li>
 </ul>
 
 MLOps &amp; Automation
 
 
 
 <ul>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Familiarity with Git and collaborative development workflows.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 6+ years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments.
 
 
 </li>
 </ul>
 
 Communication Skills
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Fluent in Qatari Arabic &amp; English, both spoken and written.
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a continuous learning mindset.
 </li>
 <li>
 Team management.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Senior Data Scientist

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support development and testing of software applications.
 </li>
 <li>
 Assist in implementing and documenting AI/ML solutions.
 </li>
 <li>
 Contribute to data collection, analysis, and reporting tasks.
 </li>
 <li>
 Collaborate with senior engineers on ongoing projects.
 </li>
 <li>
 Participate in team meetings, knowledge-sharing sessions, and technical reviews.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Current undergraduate student (3rd or 4th year preferred) in Computer sciences &amp; AI.
 </li>
 <li>
 Foundational knowledge in one or more of the following:
 </li>
 <ul>
 <li>
 Programming languages (Python, Java, or C++).
 </li>
 <li>
 Database management (SQL/NoSQL).
 </li>
 <li>
 AI/ML fundamentals (preferred but not required).
 </li>
 <li>
 Software development concepts (OOP, SDLC).
 </li>
 </ul>
 <li>
 Familiarity with Git or other version control systems (a plus).
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to learn quickly and work collaboratively.
 
 </li>
 </ul>
 
 Program Details
 
 
 
 <ul>
 <li>
 Duration: 2 months, with renewal possibility based on performance and program needs.
 </li>
 <li>
 Status: Full time or 4 days/week.
 </li>
 <li>
 Location: On-site.
 </li>
 </ul>
</div>

Explore 252+ Ai/ml engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

252 ai/ml engineer jobs IN Cairo

Apprentice Program (AI & Software Applications)

CSS - Lead Cloud Architect & AI specialist (Cairo)

AI Engineer

Data Scientist

AI Engineer

Senior Data Scientist

Apprentice Program (AI & Software Applications)