Lead Data Scientist – GenAI
At a glance
Senior AI Research role at NorthBay Solutions. Cairo · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Shape AI enterprise architectures and make technical choices spanning infrastructure, databases, APIs, microservices and AI components
- Build agentic and multi-agent systems, implement RAG workflows, and put LLM applications into production
- Connect AI/ML models to enterprise systems, with performance and scalability in view
- Take AI/ML projects from early design through delivery, including cloud and hybrid deployments
- Guide and manage technical teams, sharing practices and building their expertise
What you bring
- At least ten years of experience, including three or more years fine-tuning LLMs and deploying them in production
- Five or more years with Python, TensorFlow, PyTorch, full-stack development, Kubernetes, databases, APIs and microservices
- Strong hands-on background with AWS, Azure or GCP and the listed cloud deployment services
- Experience running CI/CD pipelines for production AI/ML systems
Who this fits
This senior, hands-on lead role suits someone who can guide technical teams while delivering enterprise AI solutions. It is based onsite in Cairo, Egypt. AWS, Azure or GCP certifications and Agile/Scrum leadership are preferred; the role also calls for clear communication across business and technical groups.
From the employer
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.