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Tekion

Edge AI Developer Intern

InternshipIn OfficeJabalpur, Madhya Pradesh2 months19K/mo1 openingImmediate / Rolling

About this internship

Join Tekion in Jabalpur 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 Tekion, your…

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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 Jabalpur, Madhya Pradesh

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

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 Tekion

Tekion operates in the automotive saas sector and has an active presence in Jabalpur. 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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