LTIMindtree

Edge AI & On-Device Intelligence Intern

InternshipIn OfficeHubballi, Karnataka6 months16K/mo6 openingsImmediate / Rolling

About this internship

LTIMindtree has an open Edge AI & On-Device Intelligence Intern position in Hubballi for motivated freshers and final-year students. You will work on live edge AI and embedded intelligence projects and finish with something you can genuinely talk about in interviews. About the role As an Edge AI &…

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Skills you'll use

Model QuantisationTensorFlow Lite / ONNXPythonC/C++ BasicsEmbedded SystemsEdge Devices (Jetson / Raspberry Pi)Latency & Memory ProfilingComputer Vision BasicsModel PruningHardware Constraints

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 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 Hubballi, Karnataka 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

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3HR discussion — stipend, start date, expectations and offer

About LTIMindtree

LTIMindtree operates in the it services & consulting sector and has an active presence in Hubballi. 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…

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