Solventum
ML Engineer
Pennsylvania, USA · full-time
No sponsorshipDetected 43 days ago
PythonJavaGoCode ReviewGitAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentMachine LearningPyTorchscikit-learnPandasSparkAirflowdbtData EngineeringData ScienceLLMsMLOps
About the role
- Thank you for your interest in joining Solventum.
- 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.
Responsibilities
- While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding.
- Help build and maintain feature stores and data layers that ensure consistency between training and production environments.
- In this role, you won't just be building models; you will be ensuring those models work reliably in the real world.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
- AND Programming: Strong proficiency in Python and familiarity with SQL.
- Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or Google Cloud Platform) and containerization (Docker).
- Data Tools: Experience with data processing frameworks (like Pandas, Spark, or dbt).
- Hands-on experience with at least one major cloud provider (AWS, Azure, or Google Cloud Platform) and containerization (Docker).
Nice to have
- Strong proficiency in Python and familiarity with SQL.
- Knowledge of a compiled language (like Go or Java) is a plus.
Skills
- 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,
- Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow).
- Experience with data processing frameworks (like Pandas, Spark, or dbt).
- Experience working in a regulated environment (Healthcare, Finance, etc.).
- Understanding of API design and microservices architecture.
Benefits
- ML Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives.
- Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
- We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy.
- 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).
- Implement basic monitoring tools to track model performance, data drift, and system health in production.
- 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.
- Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges.
- Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets for model training and inference.
- your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Company info
- At Solventum, people are at the heart of every innovation we pursue.
- Because at Solventum, we never stop solving for you.
- We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability.
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This listing is sourced directly from Solventum's careers page and normalized into a canonical job model.