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ML Engineer

Job in Maplewood, Ramsey County, Minnesota, USA
Listing for: Solventum in
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

ML Engineer

ML Engineer

3M Health Care is now Solventum

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

The

Impact You'll Make in this Role

As an ML Engineer
, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS). We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability
. In this role, you won't just be building models; you will be ensuring those models work reliably in the real world. You will help bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring our AI services are secure and scalable.

Key Responsibilities
1. MLOps & Deployment
  • Pipeline Development: Build and maintain CI/CD pipelines for machine learning, focusing on automated testing, model deployment, and version control (using tools like MLflow or Git).
  • Model Serving: Deploy ML models as scalable APIs and microservices, ensuring they meet performance and latency requirements for clinical use.
  • Monitoring: Implement basic monitoring tools to track model performance, data drift, and system health in production.
2. Data Engineering & Integration
  • Data Pipelines: Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets for model training and inference.
  • Feature Management: Help build and maintain feature stores and data layers that ensure consistency between training and production environments.
  • System Integration: Work closely with backend teams to integrate ML outputs into our core healthcare applications.
3. Engineering Best Practices
  • Code Quality: Write clean, maintainable, and well-documented Python code. Participate in code reviews to ensure system reliability.
  • Containerization: Use Docker and Kubernetes to package and orchestrate ML workloads across different environments.
  • Security & Compliance: Follow established protocols to ensure all data handling and deployments meet HIPAA and HITRUST security standards.
Your Skills and Expertise

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 3-5 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments.

AND

  • Programming: Strong proficiency in Python and familiarity with SQL. Knowledge of a compiled language (like Go or Java) is a plus.
  • Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker).
  • ML Tools: Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, Bento

    ML, or Kubeflow).
  • Data Tools: Experience with data processing frameworks (like Pandas, Spark, or dbt).

Additional qualifications that could help you succeed even further in this role include:

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

May include up to 10% domestic

Legal Authorization

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.

Onboarding Requirement

To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to 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 in accordance with its travel policy.

Applies to new hires with a start date of October 1st 2025 or later.

Corporate Policies Compliance

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Fraud Awareness

Solventum is committed to maintaining the highest standards of integrity and…

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