Experience with Databricks GenAI , including Model Serving, Vector Search, and embedding workflows.
Strong command of Databricks Lakehouse (Clustering, Unity Catalog, Delta Lake).
Knowledge of LLMs , embeddings (OpenAI / Azure OpenAI), and GenAI app patterns (RAG / Agents).
4–5 years of hands-on experience in Python , PySpark , and Data Engineering .
Proficiency in SQL, Spark performance tuning, and distributed computing.
Strong understanding of cloud platforms (Azure preferred).
Experience with CI / CD using Azure DevOps, GitHub Actions, or similar tools.
Good to Have
Familiarity with React.js for developing simple UI modules.
Experience with MLflow for model tracking.
Exposure to metadata-driven frameworks or automation-based accelerators.
Understanding of MLOps and orchestration tools (Airflow, ADF, DB Workflows).
Knowledge of Lakehouse security and governance concepts.
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Gen Ai Engineer • India
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