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Aditya Birla Fashion and Retail logo — Aditya Birla Fashion and Retail MLOps Engineer Intern in Aurangabad, Maharashtra
Aditya Birla Fashion and Retail VerifiedActively Hiring

MLOps Engineer Intern

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Location

Aurangabad, Maharashtra

Work Mode

In Office

Duration

2 months

Stipend

₹31,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Aditya Birla Fashion and Retail has an open MLOps Engineer Intern position in Aurangabad for motivated freshers and final-year students. You will work on live ML platform and operations projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps…

About Aditya Birla Fashion and Retail

Aditya Birla Fashion and Retail offers a mentor-led MLOps Engineer Intern in Aurangabad 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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Aurangabad, MaharashtraVerified employer1 opening
Apply to Aditya Birla Fashion and Retail

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 Aurangabad. 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

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

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
31,000/month

Stipend · 2 months

Apply Now →
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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