ML Engineer, MLOps & Databricks Pipelines

Darwill seeks a mid-level Machine Learning Engineer (MLOps) to productionize traditional ML models and build core data pipelines on Databricks. The role emphasizes hands-on engineering, collaboration with data scientists, and scalable ML workflows in a hybrid Chicago-area setting.

You will own ETL pipelines, model deployments, and monitoring, with opportunities to contribute to GenAI initiatives as capacity allows. Prior experience in propensities and marketing analytics is a plus.