nference

LLM Fine-Tuning Intern

InternshipIn OfficeBhubaneswar, Odisha3 months19K/mo7 openingsImmediate / Rolling

About this internship

nference is hiring a LLM Fine-Tuning Intern in Bhubaneswar — 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 nference, 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 Bhubaneswar, Odisha 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

4 rounds — typical selection flow for this role:

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

About nference

nference operates in the healthcare ai sector and has an active presence in Bhubaneswar. 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…

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