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Media.net

AI Training Intern

InternshipHybridKashipur, Uttarakhand3 months18K/mo2 openingsImmediate / Rolling

About this internship

Join Media.net in Kashipur as an AI Training Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI model training and fine-tuning work. About the role As an AI Training Intern at Media.net, your core…

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Skills you'll use

PythonPyTorchFine-tuningTraining PipelinesHyperparameter TuningGPU BasicsWeights & BiasesDataset PreparationEvaluationGit

What you'll do

  • Work on running training jobs, tracking what changed between them, and knowing when to stop alongside the core team
  • Apply Python, PyTorch, Fine-tuning, Training Pipelines to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
  • Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Python, PyTorch, Fine-tuning (or a genuine willingness to learn them)
  • Exposure to Training Pipelines, Hyperparameter Tuning, GPU Basics is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Kashipur, Uttarakhand or willing to work from there for the internship period

Perks & benefits

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. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer

About Media.net

Media.net operates in the it services sector and has an active presence in Kashipur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…
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