MLOps Intern

About this internship

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 Pune
• A portfolio, project or coursework you can show (a plus, not mandatory)

Perks & benefits

Interview & selection process

2 rounds — typical selection flow for this role:

1. 1Application screening & resume shortlisting by the talent team
2. 2Team-fit / behavioural interview

About Razorpay

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