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Citi India logo — Citi India MLOps Engineer Intern in Pune, Maharashtra
Citi India VerifiedActively Hiring

MLOps Engineer Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Citi India has an open MLOps Engineer Intern position in Pune for motivated freshers and final-year students. You will work on live machine learning operations projects and finish with something you can genuinely talk about in interviews. About the role As a MLOps Engineer Intern at Citi India…

About Citi India

Citi India offers a mentor-led MLOps Engineer Intern in Pune with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer4 openings
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Skills Required

PythonMLflowDockerCI/CD PipelinesModel Monitoring & DriftCloud (AWS / Azure / GCP)Kubernetes BasicsFeature StoresModel VersioningLogging & Alerting

Who Can Apply

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

4 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
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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