
MLOps Intern
About this internship
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Skills you'll use
What you'll do
- containerising and deploying ML models
- building CI/CD for model pipelines
- monitoring models in production
- automating training and retraining flows
- Collaborate with the team and document your work
- Take ownership of assigned tasks and act on feedback
Who can apply
- Pursuing or recently completed a relevant degree (stream depends on the role) — 2026 freshers & final-year students welcome
- Foundational knowledge of Python, Docker, MLflow (or a strong willingness to learn them)
- Good communication, problem-solving and a genuine eagerness to learn
- Based in or willing to work from Hyderabad
- A portfolio, project or coursework you can show (a plus, not mandatory)
Perks & benefits
Interview & selection process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Team-fit / behavioural interview
- 3Online aptitude / skills assessment
- 4HR discussion — stipend, start date, expectations and offer
About Capgemini
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