Sana Commerce · Alexandria, Egypt · Posted 2026-04-16
About the jobAt Sana Commerce we're committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths.It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We’re a fast-growing SaaS company that allows you to take ownership of your career.As a Senior Data Scientist, you will work in close partnership with Data Scientists, ML/AI Engineers, Engineering Managers, and Product leadership to shape and operationalize AI and GenAI capabilities within the Sana Commerce platform. You will design and develop intelligent features such as forecasting models, Retrieval-Augmented Generation (RAG) pipelines, semantic search, and document processing solutions, taking ownership of model development and ensuring readiness for production.This is a hands-on role with strong stakeholder interaction, requiring the ability to communicate complex topics clearly to non-technical audiences and influence product and technical decisions. You will collaborate closely with ML/AI Engineers to deploy scalable solutions and contribute to a culture of pragmatic AI development, balancing advanced approaches with real-world reliability, scalability, and cost-efficiency.Job DescriptionAI/ML & GenAI DevelopmentDesign and build machine learning and Generative AI solutions, including RAG pipelines, LLM-based applications, and semantic searchDevelop forecasting and predictive models to support business and product use casesTranslate business problems into scalable AI/ML solutionsWork closely with Product and Engineering teams to define and deliver AI-driven featuresModel Development & ProductionOwn the end-to-end lifecycle of ML models, from experimentation to production readinessEnsure models are designed for scalability, reliability, and performanceCollaborate with ML/AI Engineers to deploy models into production systemsApply best practices for model evaluation, monitoring, and improvementStakeholder CollaborationWork closely with Product, Engineering, and leadership teams to shape AI-driven roadmap decisionsCommunicate complex technical concepts clearly to non-technical stakeholdersInfluence product direction through data-driven insightsAct as an advocate for Data and AI across the organizationEngineering & Best PracticesWrite maintainable, production-quality Python codeApply software engineering best practices (testing, logging, modular design)Contribute to improving standards across ML development and deploymentSupport experimentation and proof-of-concepts where neededQualifications5+ years of experience in Data Science or ML Engineering, with a proven track record of deploying models into production environmentsHands-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 systemsSolid 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 FlaskExperience with Docker and Kubernetes (AKS)Experience working with Microsoft Azure (Azure OpenAI, Azure ML, Azure DevOps)Experience collaborating with Engineering Managers and cross-functional teamsStrong communication skills, with the ability to explain complex topics to non-technical stakeholdersNice to HaveExperience fine-tuning open-source LLMs (e.g., Llama, Mistral)Experience with information extraction or OCRFamiliarity with MLOps tools (MLflow, Kubeflow, DVC)Background in B2B eCommerce, logistics, or supply chainContributions to open-source projects or a strong technical portfolioWhy you’ll love working hereImpact 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 InformationWho we areAt Sana Commerce, our values drive everything we do:Champions of Our League – We deliver lasting success, balancing quick wins and long-term valueSupercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeedDetermined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industryBold Together – We dare to be bold because we have each other’s backJob 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.