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lead data scientist ai ml generative ai

HireOn

<div>
 
 Lead Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 10+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Lead Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 10+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Mentor and manage technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Lead multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,autogpt,prompt engineering,ai application development,openai,llama2,vector databases,llm frameworks,gemini,embedding models,agentic ai,generative ai,semantic kernel,rag,crewai,agents
</div>

Lead Data Scientist - AI/ML (Generative AI)

<div>
 
 Senior Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 6+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Senior Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 6+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Work on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Work with technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Work on AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Work on multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,embedding models,autogpt,llm frameworks,rag,gemini,vector databases,crewai,generative ai,semantic kernel,prompt engineering,openai,agentic ai,ai application development,llama2,agents
</div>

Senior Data Scientist - AI/ML (Generative AI)

NorthBay Solutions

<div>
 
 Senior Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Senior Data Scientist
 
 with strong expertise in
 
 GenAI and AI/ML
 
 . The candidate will build, fine-tune, and deploy AI/ML models, integrate them with enterprise systems, and support AI initiatives on cloud and hybrid infrastructures.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Build, fine-tune, and deploy
 
 Large Language Models (LLMs)
 
 including LLAMA, Mistral, and GPT
 </li>
 <li>
 Implement
 
 Agentic AI
 
 , multi-agent systems, and RAG workflows
 </li>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 integrated with enterprise systems
 </li>
 <li>
 Work with
 
 vector databases
 
 , LangChain, Langraph, and other GenAI toolchains
 </li>
 <li>
 Apply
 
 advanced prompt engineering
 
 and Chain-of-Thought techniques
 </li>
 <li>
 Deploy AI/ML models on
 
 cloud platforms
 
 (AWS, Azure, GCP) and maintain production pipelines
 </li>
 <li>
 Contribute to
 
 CI/CD pipelines
 
 and
 
 DevOps practices
 
 for AI/ML solutions
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI &amp; AI/ML Skills:
 
 2&ndash;3 years hands-on experience with LLMs and GenAI applications
 </li>
 <li>
 
 Programming &amp; ML Frameworks:
 
 Proficient in Python, TensorFlow, PyTorch
 </li>
 <li>
 
 Data &amp; Database Skills:
 
 SQL (PostgreSQL/MySQL) and NoSQL (MongoDB)
 </li>
 <li>
 
 API &amp; Integration:
 
 Experience with RESTful APIs, microservices, and model integration
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Hands-on experience with AWS SageMaker, Lambda, Azure ML, or equivalent
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (AWS, Azure, or GCP)
 </li>
 <li>
 Agile/Scrum experience
 </li>
 <li>
 Strong communication skills to bridge technical and business stakeholders
 </li>
 </ul>
</div>

Senior Data Scientist – GenAI

Finaira

<div>
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 The difference you will make
 
 
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
 </li>
 <li>
 Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Education:
 
 
 Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
 </li>
 <li>
 Demonstrated deep expertise in a specific AI sub-field
 
 
 </li>
 </ul>
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization.
 </li>
 <li>
 Ability to critically evaluate and apply academic research to real-world problems
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
</div>

Senior AI Engineer

<div>
 
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 
 
 The difference you will make:
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates. &bull; Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 
 Education:
 
 Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization. o Ability to critically evaluate and apply academic research to real-world problems.
 </li>
 </ul>
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
 
 
 
</div>

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 
 About the AI Factory Team
 
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams including Marketing, Operations, and Sales to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 
 Role Overview
 
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer
 
 with strong AI/ML experience to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate Large Language Models, Generative AI, and data pipelines.
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

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588 lead data scientist ai ml generative ai jobs In Cairo Egypt

Lead Data Scientist - AI/ML (Generative AI)

Lead Data Scientist - AI/ML (Generative AI)

Senior Data Scientist - AI/ML (Generative AI)

Senior Data Scientist – GenAI

Senior AI Engineer

Senior AI Engineer

Full Stack AI Software Engineer