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Fibe logo — Fibe LLM Fine-Tuning Intern in Noida, Uttar Pradesh
Fibe VerifiedActively Hiring

LLM Fine-Tuning Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹33,000/moApply on Company Website ↗

About the 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…

About Fibe

Fibe offers a mentor-led LLM Fine-Tuning Intern in Noida with live project work in generative ai, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer2 openings
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Skills Required

Fine-Tuning (LoRA / QLoRA)Hugging Face TransformersPyTorchPythonDataset CurationGPU Training BasicsEvaluation & BenchmarkingTokenisationModel QuantisationExperiment Tracking

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/AI-ML), M.Tech, MCA or M.Sc (CS / Data Science) who are based in or willing to work from Noida. You should be keen to learn Fine-Tuning (LoRA / QLoRA), Hugging Face Transformers, PyTorch on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

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:

  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
33,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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