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Adobe logo — Adobe Edge ML & Model Optimisation Intern in Rajkot, Gujarat
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Edge ML & Model Optimisation Intern

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Location

Rajkot, Gujarat

Work Mode

In Office

Duration

6 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Start your career in model compression and edge deployment with Adobe as an Edge ML & Model Optimisation Intern in Rajkot. 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 Optimisation…

About Adobe

Adobe offers a mentor-led Edge ML & Model Optimisation Intern in Rajkot with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
Rajkot, GujaratVerified employer7 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 Rajkot. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

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
19,000/month

Stipend · 6 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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