Remote MLOps Intern: Build AI Deployment Pipelines

Intermountain Healthcare Inc.; Montgomery (AL); Remote; USD 30,000 - 44,000; Full time

Job summary

Intermountain Health is offering a fully remote Machine Learning Operations Intern position. You will work with the Enterprise AI Center of Enablement to deploy and maintain AI infrastructure, collaborating with data scientists and MLOps engineers.

The role runs Monday–Friday during business hours and pays hourly. Expected duties include building CI/CD pipelines, deploying models on UEAA, packaging models for deployment, and implementing monitoring for performance and data drift.

Qualifications

• Understanding of statistical and ML modeling techniques.
• Experience programming with Python, SQL, Spark, Matlab.
• Strong verbal, written and interpersonal communication skills.

Responsibilities

• Build and maintain CI/CD pipelines for ML models and AI apps using Git and best practices.
• Deploy and monitor ML models on UEAA.
• Package models and dependencies for reproducible deployment (MLflow, containers, APIs).
• Develop and maintain Infrastructure as Code to provision ML platform resources.
• Support model deployment and lifecycle management within UEAA.
• Implement monitoring for model performance, data drift and system health.

Skills

Statistical modeling

Machine learning techniques

Python programming

Effective communication

Team collaboration

Education

Enrolled in college/university

Tools

Git

DevOps

MLflow

Terraform

IaC

Job description

Intermountain Health is offering a fully remote Machine Learning Operations Intern position. You will work with the Enterprise AI Center of Enablement to deploy and maintain AI infrastructure, collaborating with data scientists and MLOps engineers.

The role runs Monday–Friday during business hours and pays hourly. Expected duties include building CI/CD pipelines, deploying models on UEAA, packaging models for deployment, and implementing monitoring for performance and data drift.