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Popular Data Scientist title and Pune metro increase applicant density, but niche GenAI/Databricks skills moderate competition.
Role requires specialized GenAI and Databricks ML pipeline experience that is moderately transferable across industries.
Explicit 7–10 years requirement plus mandatory Databricks, LLM and Spark expertise creates strict shortlisting filters.
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Design and implement Generative AI and Agentic AI solutions leveraging Databricks Genie, Agent Bricks, and Mosaic AI technologies.
Build and optimize large language model (LLM) powered use cases including data pipelines using Databricks, PySpark, and SQL with Delta Lake and medallion architecture.
Develop, fine-tune, and support AI/ML models including feature dataset preparation, model evaluation, prompt engineering, and integration with enterprise workflows.
7 to 10 years of relevant work experience.
Expertise in Databricks including Genie, Agent Bricks, ML flow, Delta Lake, and Unity Catalog.
Strong skills in PySpark, SQL, and building scalable data pipelines with performance and cost optimization.
Experience in developing and deploying LLM-powered AI solutions with prompt engineering and model training.
Experienced in end-to-end development of scalable AI solutions within enterprise environments using Databricks and associated AI tools.
Proven ability to optimize Spark jobs and manage complex data ingestion and transformation pipelines.
Skilled at integrating advanced AI models into business workflows and ensuring data quality and model governance for GenAI implementations.