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...