ML Engineer
AI summary of the role
Build and maintain MLOps pipelines and data infrastructure for AI in Solventum's Healthcare Information Systems (HIS).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build and maintain CI/CD pipelines for ML, focusing on automated testing, model deployment, and version control (MLflow, Git).
- Deploy ML models as scalable APIs and microservices meeting performance and latency requirements for clinical use.
- Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets.
- Implement monitoring tools to track model performance, data drift, and system health in production.
What you’ll bring
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.
- 3–5 years of professional experience in software or data engineering, with at least 2 years in ML production environments.
- Strong proficiency in Python and familiarity with SQL.
- Hands-on experience with at least one major cloud provider (AWS, Azure, GCP) and containerization (Docker).
Technologies
Python · SQL · Docker · Kubernetes · PyTorch · Scikit-learn · MLflow · Airflow · FHIR · HL7 · AWS · Azure
About Solventum
3M healthcare spinout selling medical-surgical devices, dental products, and clinical documentation/coding software to hospitals, clinicians, and dental providers worldwide.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: 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' live [... source excerpt omitted ...] on we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. 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 infras [... source excerpt omitted ...] l 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
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