Machine Learning Operations Intern

Intermountain Health uses industry-leading data science and artificial intelligence to deliver on its mission to 'Help people have the healthiest lives possible'; making healthcare more affordable and higher quality; and making a difference in the patients and communities it serves. As a Machine Learning Operations Intern, you will work as a member of the Enterprise AI Center of Enablement to deploy and maintain infrastructure for AI products that will create impact for the communities and patients we serve.

Job Duties

• Build and maintain CI/CD pipelines for machine learning models and AI applications using Git and DevOps best practices.
• Deploy and monitor machine learning models on the Unified Enterprise Agentic Architecture (UEAA).
• Package models and their dependencies for reproducible deployment (e.g., MLflow, containers, APIs).
• Develop and maintain Infrastructure as Code (e.g., Terraform, Declarative Automation Bundles) to provision and manage ML platform resources.
• Support model deployment and lifecycle management within UEAA.
• Implement monitoring for model performance, data drift and system health, and help troubleshoot production issues.
• Optimize SQL queries, Python code and data pipelines for performance, reliability and cost.
• Contribute to automated testing and validation of models and pipelines before release.
• Collaborate with data scientists, AI engineers and MLOps engineers, and document processes, code and deployment standards.

Benefits We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Requirements

• Understanding of statistical and machine learning modeling techniques
• Experience programming using quantitative, procedural, and statistical programming languages such as Python, SQL, Spark, and Matlab.
• Experience in a role requiring effective verbal, written and interpersonal communication skills.

Preferred Qualifications

• Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or other quantitative and technical field.
• Experience with Git, DevOps and CI/CD
• Experience with MLOps platform development and Infrastructure as Code (IaC)
• Code optimization experience (i.e., SQL query tuning, Python optimization, etc.)