Databricks GenAI Engineer — ML Spark Platform
Listed on 2026-10-27
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Software Development
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Role & responsibilities
Strong Databricks platform skills for end-to-end execution (Databricks used for query/processing and supports AI/ML capabilities in the target-state architecture).
PySpark / Spark foundations for feature engineering / dataset preparation.
Familiarity with Databricks capabilities noted in your internal material: AI & ML, Gen AI, NLP, plus platform elements like Spark/Photon and monitoring.
Comfort operating in a governed environment (Unity Catalog for centralized governance, auditing/lineage).
Practical ML lifecycle skills (feature engineering, evaluation discipline, reproducible experimentation) and ability to product ionize simple models/POCs on the platform.
Demonstrated experience delivering AI/ML workloads on a data platform (Databricks preferred).
Our team is growing, and we are hiring a Databricks GenAI Engineer — ML on Spark Platform in United States.
We appreciate your interest in this position.
Join Pyramid It Consulting and contribute to our ongoing work.
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