Job Title:ML / Fine-Tuning Engineer

Location: Hyderabad OR Pune

Notice Period : 0-30 DaysMode of Work:HybridExperience :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.

Benefits

- 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 Advantages: 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)
🏢 DataEconomy
📍 Hyderabad