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

• 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.

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.