Machine Learning Engineer

Solventum is hiring an ML Engineer to build production-ready AI capabilities for Healthcare Information Systems (HIS) with reliable pipelines, secure deployments, and ongoing model performance visibility.

Responsibilities

• Build and maintain CI/CD pipelines for machine learning, including automated testing, model deployment, and version control (for example, MLflow and Git).
• Deploy ML models as scalable APIs and microservices, meeting clinical performance and latency requirements.
• Implement basic monitoring to track model performance, data drift, and overall system health in production.
• Develop and optimize ETL workflows to transform healthcare data formats (including FHIR and HL7) into datasets suitable for training and inference.
• Help build and maintain feature stores and data layers to keep training and production consistent.
• Partner with backend teams to integrate ML outputs into core healthcare applications.
• Write clean, maintainable, well-documented Python code and participate in code reviews to support reliability.
• Use Docker and Kubernetes to package and orchestrate ML workloads across environments.
• Follow established protocols to ensure data handling and deployments meet HIPAA and HITRUST security standards.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or Data Engineering.
• 4 years of professional experience in software engineering or data engineering, including at least 2 years focused on machine learning production environments.
• 2 years of experience with Python and SQL.
• Knowledge of a compiled language (such as Go or Java).
• 2 years hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker).
• 2 years experience with ML libraries (PyTorch or Scikit-learn) and MLOps tools (for example, Airflow, Prefect, BentoML, or Kubeflow).
• 2 years of experience with data processing frameworks (such as Pandas, Spark, or dbt).

Technologies

• MLflow, Git, Python, SQL, Go, Java
• AWS, Azure, GCP
• Docker, Kubernetes
• PyTorch, Scikit-learn, Airflow, Prefect, BentoML, Kubeflow
• Pandas, Spark, dbt
• FHIR, HL7, APIs, microservices
• HIPAA, HITRUST

Additional qualifications (helpful)

• Familiarity with deploying Large Language Models (LLMs) or using frameworks like LangChain.
• Experience working in a regulated environment (Healthcare, Finance, etc.).
• Understanding of API design and microservices architecture.

Location and work model

• Pittsburgh, PA (remote)
• Remote

Compensation

• USD 106,000 - 145,750 per year
• Range includes base pay plus variable incentive pay (if eligible)

Travel

• May include up to 10% domestic

Onboarding requirement

• New employees will have an opportunity to meet with their manager and other N (as part of onboarding).
• New hires must travel to a designated company location for on-site onboarding during their initial days of employment.
• Travel arrangements and related expenses will be coordinated and paid for by the company per its travel policy.
• Applies to new hires with a start date of October 1st 2025 or later.

Applicant protection notes

• Applicants should remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
• All email communications from Solventum regarding job opportunities will come from an email with the company domain; be wary of unsolicited emails from other email domains.