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Bounce Infinity logo — Bounce Infinity LLM Fine-Tuning Intern at Bounce Infinity
Bounce Infinity

LLM Fine-Tuning Intern

InternshipIn OfficeDelhi, Delhi3 months22K/mo9 openingsImmediate / Rolling

About this internship

Bounce Infinity is hiring a LLM Fine-Tuning Intern in Delhi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to model fine-tuning and adaptation rather than a certificate-only programme. About the role As a LLM Fine-Tuning Intern at Bounce Infinity…

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Skills you'll use

Fine-TuningLoRA / PEFTPyTorchHugging FaceDataset CurationEvaluation BenchmarksGPU TrainingPythonOverfitting ControlExperiment Tracking

What you'll do

  • Work on adapting an open model to a narrow task with a small, clean dataset — and checking it did not get worse at everything else alongside the core team
  • Apply Fine-Tuning, LoRA / PEFT, PyTorch, Hugging Face 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), MCA or M.Sc (Computer Science / Statistics / Mathematics)
  • Graduating batch 2025, 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 Fine-Tuning, LoRA / PEFT, PyTorch (or a genuine willingness to learn them)
  • Exposure to Hugging Face, Dataset Curation, Evaluation Benchmarks 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 Delhi, Delhi or willing to work from there for the internship period

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateBroad ownership and direct exposure to founders and senior decision-makers

Interview & selection process

4 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. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer

About Bounce Infinity

Bounce Infinity operates in the electric scooters & swapping sector and has an active presence in Delhi. 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…
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