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: 5+
years ML engineering, with 2+ years in LLM fine-tuning
- LLM




Models: Hands-on with open-source LLMs — Qwen and Llama
required
- Training
Methods: SFT, LoRA/QLoRA, GRPO, DPO/RLHF
- Frameworks: NVIDIA
NeMo/NeMoRL, VeRL, HuggingFace TRL — must have used at least two
- Distributed
Training: DeepSpeed ZeRO, FSDP2, multi-node GPU orchestration
- AWS
Infrastructure: p4d/p5/g5 GPU instances, SageMaker Training Jobs
- Languages: Python,
PyTorch; CUDA debugging a plus

Preferred (Not Required): Fine-tuning for
tool-calling/agent tasks; multi-node GRPO/RLHF with NeMoRL or VeRL; tokenizer
internals and chat-template rendering for tool-use formats.

Advantages
- Comprehensive Medical Coverage:
Health insurance
of INR 5.0 Lakhs for you and your family (up to 6
members), ensuring complete peace of mind.
- Robust Protection Plans:
Group Personal Accident
Insurance and Group Term Life Insurance to safeguard you and
your loved ones.
- Retirement Benefits:
PF and Gratuity provid

📌 ML / Fine-Tuning Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad