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Cloud4C logo — Cloud4C ML Platform Intern in Pune, Maharashtra
Cloud4C VerifiedActively Hiring

ML Platform Intern

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Join Cloud4C in Pune as a ML Platform Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on ML platform engineering work. About the role As a ML Platform Intern at Cloud4C, your core focus will be…

About Cloud4C

Cloud4C offers a mentor-led ML Platform Intern in Pune with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer8 openings
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Skills Required

PythonFeature StoresKubernetesDockerModel ServingAirflowCloud InfrastructureMLflowDistributed TrainingGit

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 Pune. You should be keen to learn Python, Feature Stores, Kubernetes 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursDirect access to the team that owns the data you work on

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
24,000/month

Stipend · 4 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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