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Tata Motors logo — Tata Motors Edge AI Developer Intern in Amritsar, Punjab
Tata Motors VerifiedActively Hiring

Edge AI Developer Intern

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Location

Amritsar, Punjab

Work Mode

Hybrid

Duration

6 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Join Tata Motors in Amritsar as an Edge AI Developer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on edge AI and on-device inference work. About the role As an Edge AI Developer Intern at Tata…

About Tata Motors

Tata Motors offers a mentor-led Edge AI Developer Intern in Amritsar with live project work in ai & machine learning, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Amritsar, PunjabVerified employer3 openings
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Skills Required

TensorRTTinyMLOpenVINOModel QuantisationEmbedded Hardware DeploymentC / C++PythonModel Pruning & DistillationLatency & Power ProfilingONNX Runtime

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE), M.Tech or M.Sc (Electronics / CS) who are based in or willing to work from Amritsar. You should be keen to learn TensorRT, TinyML, OpenVINO 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 hours

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
33,000/month

Stipend · 6 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryAI & Machine Learning
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