Founding Data Scientist - Gurugram
ClanX (company site, opens in a new tab)3+ yrsGurugramOn-siteDirect career pageEst. 20–40 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own post-training of open-weight LLMs using SFT, DPO and reinforcement learning, turning real-world interactions, user preferences and task outcomes into training signals.
- Build and maintain agent datasets, define measurable task-success rewards, and develop evaluation frameworks to track model performance and decide when internal models can replace frontier models.
- Establish distributed training and high-throughput inference workflows as part of the founding team; role is in-office in Gurgaon six days a week.
Minimum Requirements
- Work Experience Required: 3+ years in Data Science, Machine Learning or Applied AI; currently working at a product-based company, with prior founding or early-stage team experience preferred.
- Hands-on post-training of open-weight LLMs, including SFT, DPO and reinforcement learning, with evidence of taking trained models to production; experience building agent datasets and model evaluation frameworks.
- Hands-on PyTorch, FSDP or DeepSpeed, mixed precision, LoRA/PEFT, and high-throughput inference or rollouts with vLLM or SGLang; strong understanding of LLMs and transformer architecture.
- Must be open to working in-office in Gurgaon six days a week.
Ideal Candidate Profile
- Has helped take a product from 0 to 1 in a founding or early-stage engineering or data science team, and is currently in a product-company environment.
- Can connect agent trajectories and task outcomes to practical training rewards, datasets and evaluations—not just model experimentation.
- Fits a hands-on founding-team role establishing LLM training infrastructure and improving model reliability and decision-making.