Amazon

MLOps Intern

InternshipIn OfficeFaridabad, Haryana2 months25K/mo4 openingsImmediate / Rolling

About this internship

Start your career in MLOps with Amazon as a MLOps Intern in Faridabad. 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 Amazon, your core focus will be packaging, deploying and monitoring…

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Skills you'll use

PythonDockerKubernetesMLflowCI/CDModel MonitoringAWS / GCPAirflowGitLinux

What you'll do

Work on packaging, deploying and monitoring models in production alongside the core team
Apply Python, Docker, Kubernetes, MLflow 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/BCA/MCA — 2026 freshers & final-year students welcome
Working knowledge of Python, Docker, Kubernetes (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 Faridabad, Haryana

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough

About Amazon

Amazon operates in the technology & e-commerce sector and has an active presence in Faridabad. 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 from a…

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