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Schneider Electric India logo — Schneider Electric India Edge AI & TinyML Intern in Lucknow, Uttar Pradesh
Schneider Electric India VerifiedActively Hiring

Edge AI & TinyML Intern

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Location

Lucknow, Uttar Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Join Schneider Electric India in Lucknow as an Edge AI & TinyML Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on on-device machine learning work. About the role As an Edge AI & TinyML Intern at…

About Schneider Electric India

Schneider Electric India offers a mentor-led Edge AI & TinyML Intern in Lucknow with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Lucknow, Uttar PradeshVerified employer6 openings
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Skills Required

TinyMLTensorFlow LiteModel QuantisationEmbedded CMicrocontrollersPythonEdge InferenceMemory OptimisationSensorsBenchmarking

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (ECE/EEE/CSE), MCA or M.Sc (Electronics / Computer Science) who are based in or willing to work from Lucknow. You should be keen to learn TinyML, TensorFlow Lite, Model Quantisation 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
22,000/month

Stipend · 3 months

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Openings6 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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