Databricks ML Engineer

Position Overview We are seeking a Senior Databricks ML Engineer to support the delivery of an AI/analytics application by evaluating, integrating, and/or redeveloping machine learning models within a Databricks environment. This role joins after the discovery phase and becomes a key contributor to ensuring ML models are production-ready , aligned to the MVP 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 Responsibilities Model Evaluation & Strategy Assess 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 , or r...