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SquadStack

LLM Fine-Tuning Intern

InternshipIn OfficeLucknow, Uttar Pradesh2 months22K/mo6 openingsImmediate / Rolling

About this internship

Start your career in model fine-tuning and adaptation with SquadStack as a LLM Fine-Tuning Intern in Lucknow. 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 SquadStack, your core…

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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 Lucknow, Uttar Pradesh 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:

  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 SquadStack

SquadStack operates in the ai sales & contact centre tech sector and has an active presence in Lucknow. 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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