Mphasis

LLM Fine-Tuning Intern

InternshipHybridMumbai, Maharashtra3 months40K/mo3 openingsImmediate / Rolling

About this internship

Join Mphasis in Mumbai as a LLM Fine-Tuning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on model fine-tuning and adaptation work. About the role As a LLM Fine-Tuning Intern at Mphasis, 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 Mumbai, Maharashtra or willing to work from there for the internship period

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

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 Mphasis

Mphasis operates in the it services & consulting sector and has an active presence in Mumbai. 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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