> Markdown version of [/jobs/ext/3552079-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3552079-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** UST Inc - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $82,000.0 - $123,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Network Analysis, Cloud Computing, Code Review, Continuous Integration, Data Security, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Management of Software Versions, Feature Store, Feature Engineering, Pytorch, Scikit Learn, Production Code, Machine Learning Operations, Software Version Control, Databricks - **Published:** October 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18507593?backUrl=%2Fcareer%2F18507593%2FMachine-Learning-Engineer-Illinois-Chicago ## About the Role * 2-4 years of hands-on experience in machine learning engineering or applied data science, covering the full lifecycle from feature development through model deployment. * Strong proficiency in Python and common ML libraries/frameworks (e.g., scikit-learn, PyTorch, TensorFlow, MLflow). * Practical experience building, training, and deploying models on Databricks, including feature engineering, experiment tracking, and model serving/deployment on the platform. * Working knowledge of AWS as the underlying cloud infrastructure for data and ML workloads. * Solid understanding of data security fundamentals - encryption, access controls, and secure handling of sensitive data - with comfort operating in a regulated enterprise environment. * Healthcare background is a strong plus - familiarity with claims, clinical, provider, or Medicare Advantage data is valued but not required for strong ML engineering candidates willing to learn the domain. * Solid software engineering fundamentals: version control, testing, CI/CD, and code review practices. * Strong analytical and communication skills, with the ability to explain model behavior and tradeoffs to both technical and non-technical stakeholders. * Nice to Have * Databricks Certification (e.g., Databricks Certified Machine Learning Associate/Professional). AWS Certification (e.g., AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect). * Prior experience in health insurance, health plans, or another regulated industry, with exposure to HIPAA, SOC 2, or similar compliance frameworks. * Experience with MLOps tooling (MLflow, model registries, CI/CD for ML) and monitoring/observability for production models., Machine Learning Engineering, Python, Feature Store, PyTorch, Databricks, Healthcare Systems, MLOps, Scikit-learn ## Description 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 other sensitive healthcare data, in line with HIPAA and enterprise compliance requirements. * Partner with data engineers, AI/agentic systems developers, product owners, and compliance stakeholders to translate business problems into ML solutions. * Write clean, well-tested, production-quality code and contribute to shared ML tooling, standards, and documentation. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. ## Related Videos - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)