Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Union)
Core
Full lifecycle management of machine learning models and AI solutions to improve patient care and advance clinical research at a healthcare system.
Role type
Senior MLOps Engineer (Healthcare)
Builds
Production-grade ML models, scalable ML infrastructure, and automated deployment pipelines for clinical research applications.
Domain
Healthcare / Clinical Research / Artificial Intelligence
Deliverable
production ML models
Required skills
MLOps engineering principles, containerization (Docker/Kubernetes), CI/CD tools, Python/R/SQL, cloud platforms (AWS/GCP/Azure), model monitoring and drift detection, healthcare data use cases
Preferred skills
Master's degree in CS/Engineering
Technologies
AWS, GCP, Azure, Docker, Kubernetes, Github Actions, Python, R, SQL
Responsibilities
Design, build, and maintain production-grade ML models with real-time inference; Develop end-to-end scalable ML infrastructure using cloud platforms; Monitor model performance for data drift and automate retraining; Implement and optimize CI/CD pipelines for ML models; Configure monitoring and logging solutions for system health and anomalies; Lead engineering efforts in creating workflows for ML/GenAI model engineering and LLM advancements
Seniority
Senior, hands-on IC
