CynLr

Edge ML & Model Optimisation Intern

InternshipIn OfficeNagpur, Maharashtra3 months17K/mo8 openingsImmediate / Rolling

About this internship

CynLr is hiring an Edge ML & Model Optimisation Intern in Nagpur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to model compression and edge deployment rather than a certificate-only programme. About the role As an Edge ML & Model Optimisation…

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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 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, 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 Nagpur, Maharashtra or willing to work from there for the internship period

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

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 CynLr

CynLr operates in the visual robotics research sector and has an active presence in Nagpur. 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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