Senior Data Scientist (ML/AI and GenAI)

Job Description Roles & Responsibilities 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 Desired Candidate Profile 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 Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Data Scientist (ML/AI And GenAI) Get real-time job updates only on our App