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Yulu logo — Yulu Edge ML & Model Optimisation Intern in Bengaluru, Karnataka
Yulu VerifiedActively Hiring

Edge ML & Model Optimisation Intern

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Location

Bengaluru, Karnataka

Work Mode

Work from Home

Duration

3 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Yulu has an open Edge ML & Model Optimisation Intern position in Bengaluru 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 & Model…

About Yulu

Yulu offers a mentor-led Edge ML & Model Optimisation Intern in Bengaluru with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
Bengaluru, KarnatakaVerified employer11 openings
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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 Bengaluru. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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