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Navi logo — Navi MLOps Engineer Intern in Jamshedpur, Jharkhand
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MLOps Engineer Intern

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Location

Jamshedpur, Jharkhand

Work Mode

In Office

Duration

3 months

Stipend

₹42,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹42,000/moApply on Company Website ↗

About the Internship

Navi is hiring a MLOps Engineer Intern in Jamshedpur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to ML platform and operations rather than a certificate-only programme. About the role As a MLOps Engineer Intern at Navi, your core focus will be…

About Navi

Navi offers a mentor-led MLOps Engineer Intern in Jamshedpur with live project work in machine learning, a stipend of ₹42,000/month and a Pre-Placement Offer opportunity for strong performers.
Jamshedpur, JharkhandVerified employer2 openings
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Skills Required

KubeflowMLflowCI/CD for AIDocker / KubernetesModel Monitoring & Drift DetectionPythonFeature StoresModel Registry & VersioningCloud ML PlatformsInfrastructure as Code

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Jamshedpur. You should be keen to learn Kubeflow, MLflow, CI/CD for AI on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
42,000/month

Stipend · 3 months

Apply Now →
Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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