Databricks -Technical Specialist-Data Engg
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Area(s) of responsibility Key Responsibilities - Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI (model training, evaluation, prompt engineering, RAG) - Experience Build LLM-powered use cases - Design and build scalable data pipelines using Databricks, PySpark, and SQL - Implement Delta Lake, Unity Catalog, and medallion architecture - Optimize Spark jobs for performance, cost, and scalability - Perform data ingestion, transformation, and enrichment from multiple sources - Ensure data quality, reliability, and observability across pipelines - Design and develop enterprise ontologies, taxonomies, vocabularies, and semantic data models. - Support AI/ML workloads by preparing high‐quality, feature‐ready datasets - Develop and fine-tune LLMs/ML models using Databricks MLflow and Mosaic AI - Implement prompt engineering, model evaluation, and guardrails for enterprise GenAI use cases - Integrate AI solutions with enterprise data and business workflows
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Provides digital transformation and IT consulting services for global enterprises.
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