Senior Data Scientist (ML/AI and GenAI)

AI/ML & GenAI Development 

• Design and build machine learning and Generative AI solutions, including RAG pipelines, LLM-based applications, and semantic search  

• Develop forecasting and predictive models to support business and product use cases  

• Translate business problems into scalable AI/ML solutions  

• Work closely with Product and Engineering teams to define and deliver AI-driven features  

Model Development & Production 

• Own the end-to-end lifecycle of ML models, from experimentation to production readiness  

• Ensure models are designed for scalability, reliability, and performance  

• Collaborate with ML/AI Engineers to deploy models into production systems  

• Apply best practices for model evaluation, monitoring, and improvement  

Stakeholder Collaboration 

• Work closely with Product, Engineering, and leadership teams to shape AI-driven roadmap decisions  

• Communicate complex technical concepts clearly to non-technical stakeholders  

• Influence product direction through data-driven insights  

• Act as an advocate for Data and AI across the organization  

Engineering & Best Practices 

• Write maintainable, production-quality Python code  

• Apply software engineering best practices (testing, logging, modular design)  

• Contribute to improving standards across ML development and deployment  

• Support experimentation and proof-of-concepts where needed  

Qualifications 

• 5+ years of experience in Data Science or ML Engineering, with a proven track record of deploying models into production environments  

• Hands-on experience with GenAI architectures (RAG), LLM orchestration (LangChain or LlamaIndex), and vector databases (e.g., Pinecone, Qdrant)  

• Strong understanding of scalability, reliability, and observability in ML systems  

• Solid foundation in statistics, mathematics, and predictive modeling (e.g., forecasting)  

• Strong Python skills, with experience writing production-quality code (OOP, testing, logging)  

• Experience building APIs using FastAPI or Flask  

• Experience with Docker and Kubernetes (AKS)  

• Experience working with Microsoft Azure (Azure OpenAI, Azure ML, Azure DevOps)  

• Experience collaborating with Engineering Managers and cross-functional teams  

• Strong communication skills, with the ability to explain complex topics to non-technical stakeholders  

 

Nice to Have 

• Experience fine-tuning open-source LLMs (e.g., Llama, Mistral)  

• Experience with information extraction or OCR  

• Familiarity with MLOps tools (MLflow, Kubeflow, DVC)  

• Background in B2B eCommerce, logistics, or supply chain  

• Contributions to open-source 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.