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Sprinto

LLM Fine-Tuning Intern

InternshipWork from HomeKanpur, Uttar Pradesh3 months27K/mo9 openingsImmediate / Rolling

About this internship

Sprinto has an open LLM Fine-Tuning Intern position in Kanpur 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 Sprinto…

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Skills you'll use

Fine-Tuning (LoRA / QLoRA)Hugging Face TransformersPyTorchPythonDataset CurationGPU Training BasicsEvaluation & BenchmarkingTokenisationModel QuantisationExperiment Tracking

What you'll do

  • Work on adapting open models to a domain where a general-purpose model is not good enough alongside the core team
  • Apply Fine-Tuning (LoRA / QLoRA), Hugging Face Transformers, PyTorch, Python 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/AI-ML), M.Tech, MCA or M.Sc (CS / Data Science)
  • 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 / QLoRA), Hugging Face Transformers, PyTorch (or a genuine willingness to learn them)
  • Exposure to Python, Dataset Curation, GPU Training 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 Kanpur, Uttar Pradesh 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 professionals

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer

About Sprinto

Sprinto operates in the saas & developer tools sector and has an active presence in Kanpur. 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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