ML Engineer

About The Company
Solventum is a pioneering healthcare company committed to delivering innovative solutions that enhance patient outcomes and empower healthcare professionals. With a rich legacy rooted in scientific excellence and technological advancement, Solventum specializes in developing breakthrough products at the intersection of health, materials, and data science. Our mission is to enable smarter, safer, and more effective healthcare by leveraging cutting-edge technology combined with compassion and empathy. As a forward-thinking organization, we collaborate closely with leading experts in the healthcare industry to address complex challenges and improve lives globally. We foster a dynamic and inclusive work environment that values integrity, innovation, and continuous learning. Guided by a strong ethical framework and a commitment to diversity, Solventum ensures that every employee has the opportunity to contribute meaningfully to our vision of transforming healthcare through science and technology.
About The Role
We are seeking a highly skilled Machine Learning (ML) Engineer to join our team at Solventum. In this role, you will be instrumental in building and maintaining the pipelines that power artificial intelligence solutions within our Healthcare Information Systems (HIS). Your primary focus will be on ensuring the reliable deployment and operation of machine learning models in real-world clinical environments. The ideal candidate is detail-oriented, passionate about MLOps, and experienced in developing scalable, secure, and efficient AI services. You will bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring compliance with healthcare security standards such as HIPAA and HITRUST. Your work will directly impact the quality and reliability of healthcare solutions, ultimately improving patient care and supporting healthcare professionals in their vital work.
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
• At least 2 years of experience in machine learning production environments
• Proficiency in Python programming and familiarity with SQL
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP
• Experience with containerization tools like Docker and orchestration with Kubernetes
• Knowledge of ML libraries such as PyTorch or Scikit-learn
• Experience with MLOps tools like Airflow, Prefect, BentoML, or Kubeflow
• Familiarity with data processing frameworks including Pandas, Spark, or dbt
• Understanding of API design and microservices architecture
• Experience working in regulated environments such as healthcare or finance (preferred)
• Knowledge of deploying Large Language Models (LLMs) or frameworks like LangChain (preferred)
• Excellent problem-solving skills and attention to detail

Responsibilities

• Design, develop, and maintain CI/CD pipelines for machine learning workflows, ensuring automated testing, deployment, and version control
• Deploy ML models as scalable APIs and microservices, optimizing for performance and latency suitable for clinical applications
• Implement monitoring tools to track model performance, data drift, and system health in production environments
• Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean datasets for training and inference
• Assist in building and maintaining feature stores and data layers to ensure consistency between training and production environments
• Collaborate with backend teams to integrate ML outputs into core healthcare applications and systems
• Write clean, maintainable, and well-documented Python code; participate in code reviews to uphold quality standards
• Utilize Docker and Kubernetes for containerization and orchestration of ML workloads across various environments
• Ensure all data handling and deployment activities comply with HIPAA, HITRUST, and other relevant security standards

Benefits

• Competitive salary and comprehensive benefits package
• Opportunities for professional growth and development in a cutting-edge healthcare environment
• Remote work flexibility with potential travel up to 10% domestically
• Supportive onboarding process including initial on-site orientation
• Access to health and wellness programs aimed at promoting work-life balance
• Inclusive and diverse workplace culture that values innovation and integrity

Equal Opportunity
Solventum is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. All qualified applicants will receive consideration for employment without regard to these protected characteristics. We encourage candidates from diverse backgrounds to apply and join us in our mission to improve healthcare through innovation and science.