AI / GenAI Lead - Databricks CoE

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

Requirements

• 8-12 years in ML / AI / Data Science
• 3-5 years building ML solutions on Databricks
• 2+ years hands-on with LLM-based solutions
• 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

Additional Information

AI / GenAI Lead - Databricks CoE1 Own AI, ML, and GenAI capabilities on Databricks , building production-grade ML and LLM solutions using Databricks native features.

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Company Intel

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