Lead Data Scientist – GenAI
Job Description
Careers at NorthBay
We’re a fast-growing AWS Premier Consulting Partner 100% focused on guiding organizations on their digital transformation journey – and we’re on the lookout for great talent to join us.
We are committed to providing our staff with critical experience on cutting-edge technology projects, and to creating an environment that breeds talent and encourages high-quality performance. Our globally distributed team of more than 350 onshore/offshore AWS-certified solutions architects, engineers and developers has deep expertise in cloud migration, application and data modernization, and data analytics initiatives.
At NorthBay, you can learn to apply your experience with java, .NET, enterprise data analytics platforms and other core technologies to the cloud and work on sophisticated Web 3.0 blockchain, block commerce and high-profile streaming media solutions for well-known organizations in financial services, higher education, healthcare, retail, and more.
Lead Data Scientist – GenAI
Experience: 10–12+ Years
Location: Cairo, Egypt (Onsite)
Employment Type: Full-Time
About the Role
NorthBay Solutions is seeking a Lead Data Scientist with deep expertise in GenAI, AI/ML, and enterprise architecture. This senior role will lead AI initiatives, mentor technical teams, and deliver complex AI solutions across cloud, on-premises, and hybrid environments.
Key Responsibilities
- Lead the design and architecture of AI-powered enterprise solutions.
- Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
- Lead Agentic AI, multi-agent systems, and RAG workflow implementations.
- Deploy LLMs and GenAI applications in production environments.
- Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
- Integrate AI/ML models with enterprise systems for high performance and scalability.
- Mentor and manage technical teams, ensuring knowledge transfer and best practices.
- Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
Technical Requirements
- GenAI Expertise: 3+ years hands-on experience with LLM fine-tuning and production deployment.
- AI/ML & Enterprise Architecture: 5+ years in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
- Cloud & Deployment: Strong experience with AWS/Azure/GCP, SageMaker, Bedrock, Lambda, API Gateway.
- DevOps & CI/CD: Experience managing pipelines for ML/AI production systems.
Preferred Qualifications
- Cloud certifications (Solutions Architect + ML Specialty preferred).
- Agile/Scrum leadership experience.
- Excellent communication skills bridging business and technical stakeholders.