Job Description
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 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, orrebui...
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, orrebui...