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Airbus logo — Airbus Edge ML & Model Optimisation Intern in Thiruvananthapuram, Kerala
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Edge ML & Model Optimisation Intern

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Location

Thiruvananthapuram, Kerala

Work Mode

In Office

Duration

3 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

Airbus has an open Edge ML & Model Optimisation Intern position in Thiruvananthapuram 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…

About Airbus

Airbus offers a mentor-led Edge ML & Model Optimisation Intern in Thiruvananthapuram with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
Thiruvananthapuram, KeralaVerified 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 Thiruvananthapuram. 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

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
16,000/month

Stipend · 3 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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