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MLOps

MLOps Engineering Intern

Build practical mlops experience with Python, Docker, Kubernetes through guided, portfolio-ready technical work.

Hybrid15180 daysFlexible start date

About the internship

A structured advanced-level internship pathway from SkillNest’s ML Platform team. Participants practice Python, Docker, Kubernetes, engineering communication, documentation, and responsible delivery through scoped technical assignments.

What you’ll work on

  • Build and document a scoped mlops project
  • Use Python and Docker in practical assignments
  • Test results and communicate technical decisions

Learning outcomes

  • Applied proficiency with Python, Docker, Kubernetes
  • Professional Git and review workflows
  • Testing, documentation, and project presentation

Eligibility

Open to advanced-level students and early-career learners interested in building practical experience. Familiarity with Python and Docker is useful, but professional employment experience is not required.