LLM Fine-Tuning Intern

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Skills you'll use

What you'll do

• Work on adapting an open model to a narrow task with a small, clean dataset — and checking it did not get worse at everything else alongside the core team
• Apply Fine-Tuning, LoRA / PEFT, PyTorch, Hugging Face 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/IT/ECE), MCA or M.Sc (Computer Science / Statistics / Mathematics)
• 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 / PEFT, PyTorch (or a genuine willingness to learn them)
• Exposure to Hugging Face, Dataset Curation, Evaluation Benchmarks 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

Interview & selection process

3 rounds — typical selection flow for this role:

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

About Exponent Energy

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