AI / GenAI Lead – Databricks CoE1
Own AI, ML, and GenAI capabilities on Databricks, building production-grade ML and LLM solutions using Databricks native features.
Key Responsibilities
- Design ML & GenAI architectures on Databricks
- Implement MLOps using MLflow, Feature Store, Model Registry
- Build RAG, embeddings, and LLM fine-tuning pipelines
- Use Databricks Vector Search and serving endpoints
- Create AI accelerators and reusable assets
- Support AI-focused Databricks presales and PoCs
Experience
- 8–12 years in ML / AI / Data Science
- 3–5 years building ML solutions on Databricks
- 2+ years hands-on with LLM-based solutions
Skills
- Databricks ML platform & MLflow
- Python, Spark ML, distributed training
- LLM frameworks (LangChain, HuggingFace)
- Feature engineering & model monitoring
- Responsible AI & governance basics
Certifications (Preferred)
- Databricks Machine Learning Professional
