Amagi

MLOps Intern

InternshipIn OfficeSivakasi, Tamil Nadu3 months26K/mo2 openingsImmediate / Rolling

About this internship

Start your career in MLOps with Amagi as a MLOps Intern in Sivakasi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a MLOps Intern at Amagi, your core focus will be building the pipelines that get models…

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Skills you'll use

PythonDockerKubernetes BasicsCI/CDMLflowModel DeploymentFeature StoresModel MonitoringCloud (AWS/GCP/Azure)Data Pipelines

What you'll do

Work on building the pipelines that get models trained, deployed and monitored alongside the core team
Apply Python, Docker, Kubernetes Basics, CI/CD 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/M.Tech/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
Working knowledge of Python, Docker, Kubernetes Basics (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 Sivakasi, Tamil Nadu

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects

About Amagi

Amagi operates in the media technology / cloud broadcast saas sector and has an active presence in Sivakasi. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it…

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