Databricks Ml Engineer

Position OverviewWe are seeking aSenior Databricks ML Engineerto support the delivery of anAI/analytics applicationbyevaluating, integrating, and/or redeveloping machine learning modelswithin aDatabricksenvironment.This role joins after the discovery phase and becomes a key contributor to ensuring ML models areproduction-ready, aligned to theMVP experience, and successfully integrated into the broader data and application workflow.You will work closely with a lead architect and data engineering team to assess the current state of models (if they exist), determine the best path forward (reuse, tune, rebuild), and deliver a tightly scoped MVP focused on a limited asset set.Key ResponsibilitiesModel Evaluation & StrategyAssess existing ML models for accuracy, reliability, maintainability, and production readiness.Evaluate compatibility with Databricks workflows and data pipeline patterns.Recommend and document the best approach per model:reuse as-is,fine-tune, orrebuild.Define success ...