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Veeam India logo — Veeam India Neural Network Intern in Lucknow, Uttar Pradesh
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Neural Network Intern

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Location

Lucknow, Uttar Pradesh

Work Mode

In Office

Duration

2 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Join Veeam India in Lucknow as a Neural Network Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on neural network engineering work. About the role As a Neural Network Intern at Veeam India, your core…

About Veeam India

Veeam India offers a mentor-led Neural Network Intern in Lucknow with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Lucknow, Uttar PradeshVerified employer7 openings
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Skills Required

PythonPyTorchNeural ArchitecturesActivation FunctionsLoss FunctionsOptimisersBatch NormalisationHyperparameter TuningNumPyGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Lucknow. You should be keen to learn Python, PyTorch, Neural Architectures 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursDirect access to the team that owns the data you work on

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 · 2 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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