Location
Coimbatore, Tamil Nadu
Work Mode
In Office
Duration
3 months
Stipend
₹16,000/mo
Start Date
Immediate / Rolling
Openings
14 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in model compression and edge deployment with OMRON India as an Edge ML & Model Optimisation Intern in Coimbatore. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one.
About the role
As an Edge ML & Model…
About OMRON India
OMRON India offers a mentor-led Edge ML & Model Optimisation Intern in Coimbatore with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
See all OMRON Indiainternships →Coimbatore, Tamil NaduVerified employer14 openings
Apply to OMRON India →Skills Required
Model QuantisationModel PruningTensorFlow Lite / ONNXPythonC/C++ BasicsEmbedded DeploymentLatency ProfilingKnowledge DistillationBenchmarkingHardware Constraints
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (Computer Science / Electronics) who are based in or willing to work from Coimbatore. You should be keen to learn Model Quantisation, Model Pruning, TensorFlow Lite / ONNX on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
₹16,000/month
Stipend · 3 months
Openings14 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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