Okta

MLOps Intern

InternshipWork from HomeKarnal, Haryana6 months21K/mo4 openingsImmediate / Rolling

About this internship

Okta has an open MLOps Intern position in Karnal for motivated freshers and final-year students. You will work on live MLOps projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Intern at Okta, your core focus will be building the pipelines that…

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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 Karnal, Haryana

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment

About Okta

Okta operates in the identity saas (mnc) sector and has an active presence in Karnal. 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 distance. The work…

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