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ChargeZone

Edge AI Developer Intern

InternshipIn OfficeMadurai, Tamil Nadu6 months25K/mo3 openingsImmediate / Rolling

About this internship

ChargeZone has an open Edge AI Developer Intern position in Madurai for motivated freshers and final-year students. You will work on live edge AI and on-device inference projects and finish with something you can genuinely talk about in interviews. About the role As an Edge AI Developer Intern at…

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Skills you'll use

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

What you'll do

  • Work on squeezing models onto constrained hardware without losing accuracy alongside the core team
  • Apply TensorRT, TinyML, OpenVINO, Model Quantisation to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/ECE/EEE), M.Tech or M.Sc (Electronics / CS) — 2026 freshers & final-year students welcome
  • Working knowledge of TensorRT, TinyML, OpenVINO (or a genuine willingness to learn them)
  • Strong fundamentals in your discipline and clear problem-solving ability
  • Care with detail and the discipline to document your work
  • Clear written and verbal communication in English
  • Based in or willing to work from Madurai, Tamil Nadu

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment

About ChargeZone

ChargeZone operates in the technology sector and has an active presence in Madurai. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…
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