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Genpact logo — Genpact MLOps Engineer Intern in Pune, Maharashtra
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MLOps Engineer Intern

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Location

Pune, Maharashtra

Work Mode

Work from Home

Duration

3 months

Stipend

₹31,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹31,000/moApply on Company Website ↗

About the Internship

Start your career in ML platform and operations with Genpact as a MLOps Engineer Intern in Pune. 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 Engineer Intern at Genpact, your core focus will be…

About Genpact

Genpact offers a mentor-led MLOps Engineer Intern in Pune with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer3 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 Pune. 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

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

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
31,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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