Senior Data Scientist (ML/AI and GenAI)
GenAI Development & Architecture
Design and build end-to-end Generative AI applications, including RAG pipelines, LLM orchestration, and semantic search solutions
Collaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architectures
Apply best practices for distributed ML systems to ensure modularity, maintainability, and scalability
Optimize AI systems for latency, cost-efficiency, and data privacy
Establish and promote architectural standards for AI/ML services
MLOps & Production Excellence
Own the full lifecycle of ML models, from experimentation to production deployment
Productionize models as scalable microservices using FastAPI, Docker, and Kubernetes (AKS)
Implement and promote MLOps best practices, including CI/CD, monitoring, and data validation
Ensure systems are observable, reliable, and aligned with engineering and security standards
Translate complex AI concepts into practical, implementable solutions for engineering teams
Collaboration & Engineering Culture
Work closely with Engineering Managers, Data Scientists, and Product teams to deliver impactful AI-driven features
Mentor and coach team members on software engineering best practices (OOP, testing, system design)
Establish technical guardrails and reference architectures for AI development
Foster a culture of experimentation, knowledge sharing, and evidence-based decision-making
Contribute to improving documentation and AI/ML knowledge across the organization
Hands-On Development & Innovation
Build proof-of-concepts and run technical experiments to validate new approaches
Contribute to design reviews and key architectural decisions involving AI/ML
Stay close to delivery teams to ensure solutions are practical and production-ready
Support the development of AI-powered features such as search, recommendations, and document intelligence
Qualifications
Qualifications
5+ years of experience in Data Science or ML Engineering, with production deployment experience in SaaS environments
Strong expertise in GenAI architectures (RAG) and LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
Hands-on experience with vector databases (e.g., Pinecone, Qdrant)
Expert-level Python skills, with a focus on production-quality code (OOP, testing, logging)
Experience building APIs using FastAPI or Flask
Experience with Docker and Kubernetes (AKS) for deploying scalable services
Strong understanding of system scalability, resilience, and observability in ML pipelines
Deep knowledge of Microsoft Azure (Azure OpenAI, Azure Machine Learning, Azure DevOps)
Strong collaboration and communication skills, with the ability to influence technical decisions
Nice to Have
Experience fine-tuning open-source LLMs (e.g., Llama 3, Mistral)
Experience with advanced information extraction (e.g., OCR, document processing)
Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC
Background in B2B eCommerce, logistics, or supply chain domains
Contributions to open-source AI/ML projects or a strong technical portfolio
Why you’ll love working here
- Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
- Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days.
- Career growth – Expand your technical and leadership scope in a company built for long-term success.
Additional Information
Who we are
At Sana Commerce, our values drive everything we do:
- Champions of Our League – We deliver lasting success, balancing quick wins and long-term value
- Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed
- Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry
- Bold Together – We dare to be bold because we have each other’s back
Job descriptions can be tough to interpret. Even if you may not tick all the boxes, we have ambitious plans and we encourage people who share our vision and look forward to growing with us. Apply now.