Databricks Gen AI Engineer

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • 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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