Senior Data Scientist - GenAI (Retail)
Core
Design, develop, and deploy scalable Generative AI solutions and LLM-powered applications for retail clients to solve business problems and generate value.
Role type
Senior IC Generative AI Data Scientist
Builds
LLM-powered applications, agentic AI workflows, and Document Intelligence solutions for retail clients
Domain
Retail, supply chain, logistics, and distribution networks
Deliverable
production ML models
Required skills
Generative AI modeling, LLM orchestration, prompt engineering, RAG, agentic AI workflows, document intelligence, Python, SQL, MLflow, model lifecycle management, deep learning, transfer learning, sequential algorithms (LSTM, RNN, transformer), pre-trained models (LLaMa, SAM), ethical AI evaluation, CI/CD pipelines, scalable system design
Preferred skills
Experience with Bedrock, JumpStart, HuggingFace, GANs, VAEs
Technologies
Databricks, Azure AI services, LangGraph, MLflow, Bedrock, JumpStart, HuggingFace
Responsibilities
Translate business problems into high-level analytics solution designs, present analytic solutions to business audiences, develop end-to-end GenAI solutions, build LLM-powered applications and orchestrate workflows, implement Document Intelligence solutions, communicate results to senior management and business teams, collaborate with IT and Data Engineering teams to embed analytic outputs
Seniority
Senior, hands-on IC with mentorship responsibilities
