Principal ML Engineer
Solventum
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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Job Level
About the role
- Lead the technical architecture and engineering strategy for integrating sophisticated AI into high-stakes Healthcare Information Systems (HIS).
- Architect the robust MLOps pipelines and cloud infrastructure required to move models from experimental notebooks into mission-critical clinical environments.
- Design and implementation of end-to-end ML lifecycles, focusing on automated CI/CD pipelines, model versioning (MLflow/DVC), and reproducible experimentation.
- Architect high-performance serving layers for both LLMs and classical models, ensuring low-latency and high-availability in a secure healthcare cloud environment.
- Build the underlying infrastructure for agent-based reasoning systems, ensuring these
Requirements
- Bachelors Degree or Higher in Computer Science, Software Engineering, or a related technical field.
- 10+ years of experience in software engineering, with at least 6 years dedicated to deploying and maintaining large-scale ML systems in production.
- Expert-level experience with Cloud Providers (AWS/GCP/Azure) and orchestration tools (Kubernetes, Kubeflow, or Airflow).
- Expert-level Python and Java/Go (or similar).
- Deep proficiency in backend frameworks and system design patterns.
- Strong experience with Spark, Snowflake/Databricks, and building scalable feature stores.
- Hands-on experience deploying Generative AI (LLMs) and Agentic frameworks (LangChain/LangGraph) within a containerized microservices architecture.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsCI/CDmodel versioningMLflowDVCPythonJavaGoSparkGenerative AI