MLOps Engineer Internship

Remote, Worldwide

Overview: Operationalizing AI and Personalization

The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will operationalize the models powering our AI agents and the e-commerce personalization systems, ensuring continuous integration, delivery, and monitoring of our predictive analytics and recommendation engines.

Internship Details

Duration: 3 months

Start Date: Immediate

Location: Remote

Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.

Key Responsibilities & Core Projects

You will build the automation infrastructure that turns static models into continuously improving production systems.

Model CI/CD Pipelines: Design and build robust CI/CD pipelines dedicated to the machine learning lifecycle: automated model training, validation, and deployment using tools integrated with our main Makefile CI/CD setup.

Model Monitoring & Tracking: Implement comprehensive monitoring and alerting for model performance (e.g., drift detection,...