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 provided as
per standard government regulations.
- Flexible Work Options:
Enjoy hybrid work
arrangements & flexible working hours.
- Generous Leave Policy:
21 days of annual leave, in
addition to 10 company-declared holidays.
- Employee Well-being Spaces:
Access to a dedicated
break-out area with round-the-clock refreshments for
relaxation and rejuvenation.

📌 ML / Fine-Tuning Engineer (Hyderabad)
🏢 Important Company of the Sector
📍 Hyderabad