MLOps Engineer Intern
About this internship
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Skills you'll use
What you'll do
- Work on building the pipelines that get models retrained, deployed and watched alongside the core team
- Apply Kubeflow, MLflow, CI/CD for AI, Docker / Kubernetes to live, production-facing problems
- Document your work clearly for reviewers and stakeholders
- Participate in reviews and act on the feedback you receive
- Collaborate across engineering, product, design or business as required
- Follow the team's quality, testing and documentation standards
Who can apply
- Pursuing or recently completed B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) — 2026 freshers & final-year students welcome
- Working knowledge of Kubeflow, MLflow, CI/CD for AI (or a genuine willingness to learn them)
- Strong fundamentals in your discipline and clear problem-solving ability
- Care with detail and the discipline to document your work
- Clear written and verbal communication in English
- Based in or willing to work from Kanpur, Uttar Pradesh
Perks & benefits
Interview & selection process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
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