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

ML Platform Engineer Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

2 months

Stipend

₹35,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹35,000/moApply on Company Website ↗

About the Internship

Start your career in internal machine learning platforms with Deepwatch 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 Deepwatch…

About Deepwatch

Deepwatch offers a mentor-led ML Platform Engineer Intern in Pune with live project work in machine learning, a stipend of ₹35,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer14 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

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
35,000/month

Stipend · 2 months

Apply Now →
Openings14 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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