Pay1

LLM Fine-Tuning Intern

InternshipWork from HomeDelhi, Delhi3 months39K/mo12 openingsImmediate / Rolling

About this internship

Start your career in model fine-tuning and adaptation with Pay1 as a LLM Fine-Tuning Intern in Delhi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a LLM Fine-Tuning Intern at Pay1, your core focus will be…

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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 Delhi, Delhi or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment
3Technical interview on fundamentals and your projects
4HR discussion — stipend, start date, expectations and offer

About Pay1

Pay1 operates in the retailer fintech 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 distance. The work…

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