All jobs → Partner boards

Machine Learning Engineer

UST • Chicago, IL, US • published 2026-10-01 03:58:49.944153

Description

**Role description** **Machine Learning Engineer** **The Role** UST is searching for a Machine Learning Engineer to design, build, and deploy ML models that drive insights and automation across our healthcare payer business — including claims, clinical, provider, and Medicare Advantage data. **What You’ll Do** * Design, build, and validate machine learning models addressing healthcare payer use cases (e.g., claims risk scoring, clinical outcome prediction, provider network analytics, Medicare Advantage risk adjustment). * Develop and maintain feature engineering pipelines on Databricks, including feature stores, transformations, and reusable feature sets for model training and inference. * Train, tune, and evaluate models using standard ML frameworks, tracking experiments and managing the model lifecycle (versioning, registry, lineage). * Deploy models to production on Databricks (batch and/or real\-time serving), integrating with downstream applications and monitoring systems. * Monitor deployed models for performance, data drift, and degradation, and implement retraining or remediation workflows as needed. * Apply data security and privacy best practices when handling PHI/PII and...

Get jobs like this daily in Telegram: @careeri_bot