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Aditya Birla Capital logo — Aditya Birla Capital MLOps Intern in Noida, Uttar Pradesh
Aditya Birla Capital VerifiedActively Hiring

MLOps Intern

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Location

Noida, Uttar Pradesh

Work Mode

Work from Home

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Aditya Birla Capital has an open MLOps Intern position in Noida for motivated freshers and final-year students. You will work on live MLOps projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Intern at Aditya Birla Capital, your core focus will…

About Aditya Birla Capital

Aditya Birla Capital offers a mentor-led MLOps Intern in Noida with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer10 openings
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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 Noida. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceDirect access to the team that owns the data you work on

Interview & Selection Process

3 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. 3HR discussion — stipend, start date, expectations and offer
22,000/month

Stipend · 3 months

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Openings10 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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