Live opening · Posted 8 days ago
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Description supplied by the original job listing.
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
Work arrangement
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