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Waaree Energies logo — Waaree Energies Edge ML & Model Optimisation Intern at Waaree Energies
Waaree Energies

Edge ML & Model Optimisation Intern

InternshipIn OfficeDelhi, Delhi3 months29K/mo6 openingsImmediate / Rolling

About this internship

Waaree Energies has an open Edge ML & Model Optimisation Intern position in Delhi for motivated freshers and final-year students. You will work on live model compression and edge deployment projects and finish with something you can genuinely talk about in interviews. About the role As an Edge ML…

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Skills you'll use

Model QuantisationModel PruningTensorFlow Lite / ONNXPythonC/C++ BasicsEmbedded DeploymentLatency ProfilingKnowledge DistillationBenchmarkingHardware Constraints

What you'll do

  • Work on making a model small and fast enough to run where there is no GPU alongside the core team
  • Apply Model Quantisation, Model Pruning, TensorFlow Lite / ONNX, Python 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, MCA or M.Sc (Computer Science / Electronics)
  • Graduating batch 2026, 2027 or 2028 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Model Quantisation, Model Pruning, TensorFlow Lite / ONNX (or a genuine willingness to learn them)
  • Exposure to Python, C/C++ Basics, Embedded Deployment is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Delhi, Delhi or willing to work from there for the internship period

Perks & benefits

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & selection process

2 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

About Waaree Energies

Waaree Energies operates in the solar manufacturing sector and has an active presence in Delhi. 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…
Visit Waaree Energies’s official website ↗

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