About the Role

Base model selection and fine-tuning quality are the foundation everything else is built on — the default recipes here shape how well every downstream model performs. As a Fine-Tuning Research Scientist, you'll own that foundation.

What You'll Do
Select and evaluate base models for fine-tuning suitability
Design and maintain instruction-tuning and supervised fine-tuning recipes, including LoRA/QLoRA adapters
Support customer-specific tuning requests as reference implementations for the wider platform
Run and interpret fine-tuning ablations to keep our default recipes current with the field
Collaborate with our evaluation team to validate fine-tuning quality against real benchmarks

What You'll Bring




5+ years of relevant experience in applied machine learning or NLP
Robust hands-on experience fine-tuning large language models, including LoRA/QLoRA
Proficiency with PyTorch and the Hugging Face ecosystem
Comfort running and interpreting training ablations at scale
Solid grounding in evaluation methodology, to know whether a fine-tune actually improved the model

Education

Master's or PhD in Machine Learning, Computer Science, Statistics, or a related quantitative field.

Nice to Have
A master's or PhD in Machine Learning or NLP
Experience fine-tuning models at an applied AI company

📌 Fine Tuning Research Scientist Bengaluru
🏢 HCLTech
📍 Bengaluru