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Solventum

Enabling better, smarter, safer healthcare to improve lives.

Principal ML Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

Pennsylvania

Posted

23 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishAirflowAWSAzureCloudGoogle Cloud PlatformJavaKubernetesMicroservicesPythonSparkGo

Job Description

• 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

Job 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

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