Machine Learning Engineer

1 day ago

Remote, United States or Pittsburgh, PA, USASenior

Responsibilities

Build and maintain CI/CD pipelines for machine learning, including 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 data consistent.
Integrate ML outputs with core healthcare applications in collaboration with backend teams.
Write clean, maintainable, documented Python code and participate in code reviews.
Package and orchestrate ML workloads with Docker and Kubernetes across environments.
Apply security and compliance protocols meeting HIPAA and HITRUST standards.

Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related field.
At least 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 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 and understanding of API design and microservices architecture are preferred.

Remote work arrangement.
May include up to 10% domestic travel.
Company-paid and coordinated on-site onboarding travel for applicable new hires with start dates of October 1, 2025 or later.
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.