About this role
About the Role As an ML Engineer at Solventum, you will build and maintain pipelines powering AI in Healthcare Information Systems, focusing on MLOps, data reliability, and production-ready deployment. You will bridge data science and software engineering to deliver secure, scalable AI services in a healthcare context. What You'll Do
- Build and maintain CI/CD pipelines for ML (MLflow, Git) and deploy models as scalable APIs/microservices with performance/latency targets for clinical use.
- Implement basic monitoring for model performance, data drift, and production health.
- Develop ETL data pipelines for healthcare data (FHIR, HL7) and manage feature stores to ensure training/production consistency.
- Collaborate with backend teams to integrate ML outputs into core healthcare applications.
- Write clean, tested Python code; participate in code reviews.
- Containerize workloads with Docker and Kubernetes; ensure security/compliance (HIPAA, HITRUST). What We're Looking For
- Bachelor's or Master's in CS/Software Eng/Data Eng or related field.
- 3–5 years software or data engineering experience, with at least 2 years in ML production environments.
- Proficiency in Python and SQL; knowledge of a compiled language (Go/Java) is a plus.
- Cloud experience (AWS, Azure, or GCP) and Docker; familiarity with ML libraries (PyTorch or Scikit-Learn) and MLOps tools (Airflow, Prefect, BentoML, Kubeflow).
- Experience with data processing frameworks (Pandas, Spark, dbt).
- Familiarity with healthcare data standards (FHIR, HL7) and security/compliance (HIPAA/HITRUST). Nice to Have
- Deploying Large Language Models (LLMs) or LangChain.
- Experience in regulated environments (Healthcare, Finance).
- API design and microservices architecture. Compensation & Benefits
- Onboarding will include on-site meetings with your manager and new teammates as part of Solventum new employee orientation.
- Travel may be up to 10% domestically; travel arrangements and related onboarding requirements for on-site orientation.
- We offer competitive pay and benefits; Solventum regularly benchmarks with other companies of similar size and scope.