Job Description & How to Apply Below
Bangalore | 4–6 Years Experience
We are hiring a hands-on Senior Data Scientist / Researcher to lead end-to-end training and improvement of open-source LLMs, with a strong focus on Indian languages and production reliability.
This role goes beyond prompt engineering. You will own the full lifecycle — data curation, continued pretraining, supervised fine-tuning (SFT), preference optimization (DPO/IPO/ORPO), evaluation, optimization, and deployment readiness.
What You’ll Work On
Improving multilingual & Indic language performance (including code-switching like Hinglish)
Strengthening instruction-following and alignment
Building reliable tool/function calling with structured JSON outputs
Designing evaluation frameworks for quality, safety, and regression testing
Optimizing models for latency and throughput using quantization and serving stacks like vLLM and Tensor
RT-LLM
What We’re Looking For
4–6 years in ML/DS with direct LLM training experience
Strong expertise in Transformers and fine-tuning methods (LoRA, full fine-tune, continued pretraining)
Deep experience with PyTorch and distributed training (Deep Speed/FSDP)
Ability to take models from experimentation to production constraints
If you’ve built, evaluated, optimized, and shipped LLM systems — especially for multilingual or structured-output use cases — we’d love to connect.
Position Requirements
10+ Years
work experience
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