Fibe

LLM Fine-Tuning Intern

InternshipHybridNoida, Uttar Pradesh3 months33K/mo2 openingsImmediate / Rolling

About this internship

Fibe is hiring a LLM Fine-Tuning Intern in Noida — 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 Fibe, 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 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 Noida, Uttar Pradesh 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 Certificate

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough
3HR discussion — stipend, start date, expectations and offer

About Fibe

Fibe operates in the fintech sector and has an active presence in Noida. 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 runs at…

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