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Aditya Birla Group logo — Aditya Birla Group MLOps Engineer Intern in Gurugram, Haryana
Aditya Birla Group VerifiedActively Hiring

MLOps Engineer Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

3 months

Stipend

₹38,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹38,000/moApply on Company Website ↗

About the Internship

Start your career in ML platform and operations with Aditya Birla Group as a MLOps Engineer Intern in Gurugram. 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 Aditya Birla Group…

About Aditya Birla Group

Aditya Birla Group offers a mentor-led MLOps Engineer Intern in Gurugram with live project work in machine learning, a stipend of ₹38,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified 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 Gurugram. 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

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
38,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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