1 day ago
Base Salary
$124k - $171k/yr
Responsibilities
- Build and maintain machine learning CI/CD pipelines for automated testing, model deployment, and version control.
- Deploy machine learning models as scalable APIs and microservices that meet clinical performance and latency requirements.
- Implement monitoring for model performance, data drift, and production system health.
- Develop and optimize ETL pipelines that transform FHIR and HL7 healthcare data for model training and inference.
- Build and maintain feature stores and data layers that keep training and production environments consistent.
- Integrate machine learning outputs into core healthcare applications with backend teams.
- Write maintainable, documented Python code and participate in code reviews.
- Use Docker and Kubernetes to package and orchestrate machine learning workloads.
- Follow security and compliance protocols supporting HIPAA and HITRUST standards.
Requirements
- Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related field, plus 6+ years of professional software engineering or data engineering experience.
- At least 5 years of Python experience and familiarity with SQL.
- At least 2 years of experience working in machine learning production environments.
- At least 5 years of experience with AWS and Docker-based containerization.
- At least 3 years of experience working with Java.
- At least 3 years of experience with machine learning libraries such as PyTorch or Scikit-learn and MLOps tools such as Airflow, Prefect, BentoML, or Kubeflow.
- At least 4 years of experience with data processing frameworks such as Pandas, Spark, or dbt.
- Familiarity with deploying large language models or using LangChain is preferred.
- Experience in a regulated environment such as healthcare or finance is preferred.
- Understanding of API design and microservices architecture is preferred.
Benefits
- Remote work location.
- Travel may include up to 10% domestic travel.
- Benefits may include medical, dental and vision coverage, health savings accounts, flexible spending accounts, disability benefits, life insurance, voluntary benefits, paid absences, and retirement benefits.
- New hires with a start date of October 1, 2025 or later must travel to a designated company location for initial on-site onboarding; the company coordinates and pays related expenses under its travel policy.
Tech Stack
Categories
Data EngineeringML Engineering
About Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you.