Senior Data Scientist (ML/AI and GenAI) - Alexandria at Sana Commerce Latinoamrica

Alexandria, Alexandria, Egypt -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, RAG Pipelines, LLM Orchestration, Vector Databases, Python, FastAPI, Flask, Docker, Kubernetes, Microsoft Azure, Predictive Modeling, Semantic Search, MLOps, Statistics, Mathematics, OOP

Industry

Software Development

Description

Company Description At 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 Description 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 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.

Responsibilities

Design and operationalize AI and GenAI capabilities, including RAG pipelines and forecasting models, within the Sana Commerce platform. Collaborate with cross-functional teams to translate business problems into scalable production-ready ML solutions.