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Indusface logo — Indusface ML Platform Engineer Intern in Pune, Maharashtra
Indusface VerifiedActively Hiring

ML Platform Engineer Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

3 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹32,000/moApply on Company Website ↗

About the Internship

Start your career in internal machine learning platforms with Indusface as a ML Platform Engineer Intern in Pune. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a ML Platform Engineer Intern at Indusface…

About Indusface

Indusface offers a mentor-led ML Platform Engineer Intern in Pune with live project work in machine learning, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer11 openings
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Skills Required

PythonDocker & KubernetesCI/CDCloud (AWS / Azure / GCP)Experiment TrackingPipeline OrchestrationAPI DesignMonitoringInfrastructure as CodeDeveloper Experience

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, Docker & Kubernetes, CI/CD 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
32,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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