Edge AI & On-Device Intelligence Intern
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Skills you'll use
What you'll do
- Work on shrinking models so they run on a device instead of in a data centre alongside the core team
- Apply Model Quantisation, TensorFlow Lite / ONNX, Python, C/C++ Basics 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 / Computer Science)
- Graduating batch 2025, 2026 or 2027 — 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, TensorFlow Lite / ONNX, Python (or a genuine willingness to learn them)
- Exposure to C/C++ Basics, Embedded Systems, Edge Devices (Jetson / Raspberry Pi) 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 Bengaluru, Karnataka or willing to work from there for the internship period
Perks & benefits
Interview & selection process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3Team-fit / behavioural interview with the team
- 4HR discussion — stipend, start date, expectations and offer
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