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Aditya Birla Fashion and Retail logo — Aditya Birla Fashion and Retail MLOps Intern in Jaipur, Rajasthan
Aditya Birla Fashion and Retail VerifiedActively Hiring

MLOps Intern

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Location

Jaipur, Rajasthan

Work Mode

Hybrid

Duration

2 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Join Aditya Birla Fashion and Retail in Jaipur as a MLOps Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on MLOps work. About the role As a MLOps Intern at Aditya Birla Fashion and Retail, your core…

About Aditya Birla Fashion and Retail

Aditya Birla Fashion and Retail offers a mentor-led MLOps Intern in Jaipur with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jaipur, RajasthanVerified employer8 openings
Apply to Aditya Birla Fashion and Retail

Skills Required

MLflowDockerCI/CD for MLModel RegistryKubernetes BasicsPythonData Versioning (DVC)Model MonitoringCloud ML ServicesGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Jaipur. You should be keen to learn MLflow, Docker, CI/CD for ML 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
27,000/month

Stipend · 2 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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