Job Title:ML / Fine-Tuning Engineer
Location:
Hyderabad OR Pune Notice Period : 0-30 Days Mode of Work:Hybrid
Experience:
5+ Years We are looking for ML / Fine-Tuning Engineer who can deliver (under supervision of ProServe Tech Lead) the end-to-end fine-tuning of open-source LLMs for a narrow, high-volume production task on AWS — SFT and alignment experiments (GRPO, DPO), debugging training on multi-GPU clusters, and iterating to strict accuracy targets. Models from 8B to 70B parameters. What We Expect: Fine-tune open-source LLMs (Qwen, Llama) from experiment to production-ready checkpoint Run SFT and RL alignment (GRPO, DPO) to improve output accuracy Execute training on AWS GPU instances (p4d, p5, g5) using distributed training Diagnose/fix training issues: loss imbalances, OOM errors, gradient instabilities Collaborate with evaluation and data engineering to iterate on quality gaps Make data-driven model scaling decisions (8B → 14B → 70B) based on offline metrics Requirements
Experience:
Benefits:
Job details are sourced from the employer's original posting.
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DataEconomy provides data management and analytics solutions for businesses.