Senior Data Scientist - Generative AI
Core
Lead the GenAI platform by designing, building, and productionizing prompt-driven solutions and retrieval/RAG pipelines grounded in real product and brand data.
Role type
Senior IC machine-learning engineer (generative AI & search)
Builds
Production GenAI systems (LLM and diffusion-based creative pipelines) and search/retrieval layers (embeddings, vector retrieval, RAG) serving live creative-generation traffic.
Domain
Consumer goods (beer brands) + Generative AI + Search & Retrieval
Deliverable
production ML models
Required skills
LLMs, multimodal generation, prompt engineering, RAG architectures, embedding models, vector similarity search, hybrid search, re-ranking, Python, PySpark, FastAPI, Azure OpenAI, Databricks, Spark, CI/CD, testing/typing tooling
Preferred skills
Master's degree or PhD, experience with agentic and multi-step RAG, async job orchestration
Technologies
Azure, Azure OpenAI/Foundry, Databricks, Spark, Python, FastAPI, PySpark, GitHub, pytest, mypy
Responsibilities
Design and productionize GenAI systems end-to-end; own the search and retrieval layer for GenAI applications; stay up to date with frontier techniques and apply them to solve complex problems; implement automation and evaluation workflows; collaborate with cross-functional teams to deliver production-grade solutions; mentor other data scientists on GenAI and retrieval best practices.
Seniority
Senior, hands-on IC