Machine Learning Engineer

• Build and maintain CI/CD pipelines for machine learning, including automated testing, model deployment, and version control
• Deploy ML models as scalable APIs and microservices meeting clinical performance and latency requirements
• Implement monitoring for model performance, data drift, and system health in production
• Develop and optimize ETL processes transforming healthcare data, including FHIR and HL7, for model training and inference
• Help build and maintain feature stores and data layers for consistency between training and production
• Integrate ML outputs into core healthcare applications with backend teams
• Write clean, maintainable, and documented Python code
• Participate in code reviews
• Use Docker and Kubernetes to package and orchestrate ML workloads
• Follow protocols for HIPAA and HITRUST-compliant data handling and deployments
• Travel up to 10% domestically as needed
• Attend company on-site onboarding during the initial days of employment

Explore Machine Learning Engineer at Solventum. Review requirements and application details.