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Metasys
MLOps Engineer Internship
Remote · Internship · Entry level
About the role
The MLOps Engineer Internship focuses on operationalizing AI and personalization by deploying and maintaining machine learning models in production. You will build automation infrastructure and ensure continuous integration, delivery, and monitoring of AI and e-commerce systems.
What you’ll do
• Design and build ML lifecycle CI/CD pipelines. • Implement model monitoring and alerting systems. • Operationalize ML model deployment in production. • Manage model versioning and feature stores. • Automate model retraining workflows based on data drift.
What you’ll bring
• Experience with MLOps tools like MLflow, Kubeflow, Sagemaker. • Proficiency in Python and TypeScript/Node.js. • Knowledge of CI/CD pipelines, Docker, Terraform. • Understanding of ML data pipelines and compute optimization. • Familiarity with responsible AI and monitoring concepts.
Life at Metasys
Mentorship from senior technology leaders and collaboration with cross-functional teams. Potential for paid full-time role based on performance.