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Razorpay logo — Razorpay LLM Fine-Tuning Intern at Razorpay
Razorpay

LLM Fine-Tuning Intern

InternshipIn OfficeAhmedabad, Gujarat2 months25K/mo10 openingsImmediate / Rolling

About this internship

Razorpay has an open LLM Fine-Tuning Intern position in Ahmedabad for motivated freshers and final-year students. You will work on live model fine-tuning and adaptation projects and finish with something you can genuinely talk about in interviews. About the role As a LLM Fine-Tuning Intern at…

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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 Ahmedabad, Gujarat or willing to work from there for the internship period

Perks & benefits

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsStructured onboarding and a formal mentor at a large, established employer

Interview & selection process

4 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. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer

About Razorpay

Razorpay operates in the payments & banking technology sector and has an active presence in Ahmedabad. 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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