Senior Data Scientist (mlai And Genai) Alexandria

Job Summary

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 :

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 youll 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 Were 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 others 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.

Remote Work :

No

Employment Type :

Full-time

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