1 day ago
Remote, United States or Pittsburgh, PA, USAMid Level
Base Salary
$106k - $146k/yr
Responsibilities
- Build and maintain machine learning CI/CD pipelines for automated testing, model deployment, and version control.
- Deploy ML 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 for healthcare data using FHIR and HL7.
- Maintain feature stores and data layers that provide consistency between training and production environments.
- Integrate machine learning outputs into core healthcare applications with backend teams.
- Write clean, documented Python code and participate in code reviews.
- Package and orchestrate ML workloads using Docker and Kubernetes.
- Ensure data handling and deployments comply with HIPAA and HITRUST security standards.
Requirements
- Bachelor's or master's degree in computer science, software engineering, or data engineering.
- Four years of professional software engineering or data engineering experience, including at least two years focused on production machine learning environments.
- At least two years of experience with Python and SQL.
- Knowledge of a compiled language such as Go or Java.
- At least two years of hands-on experience with AWS, Azure, or GCP and Docker containerization.
- At least two years of experience with PyTorch or Scikit-learn and MLOps tools such as Airflow, Prefect, BentoML, or Kubeflow.
- At least two 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 arrangement.
- Travel may include up to 10% domestic travel.
- Company-paid travel and expenses for onsite onboarding during the initial employment days for applicable hires with start dates on or after October 1, 2025.
- 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.
Tech Stack
Apache AirflowApache SparkAWSAzuredbtDockerGitGoGoogle Cloud PlatformJavaKubernetesMLflowPandasPythonPyTorchscikit-learnSQL
Categories
Data EngineeringML Engineering
About Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you.