Machine Learning Engineer - LLM Models

Role Overview :

You will lead the fine-tuning and evaluation of open-source LLMs (e.g., Llama, Mistral, Qwen). This role requires hands-on skills in Python, PyTorch, Hugging Face, and distributed training :

• Fine-tune and adapt open-source LLMs using LoRA / QLoRA.
• Build pipelines for supervised fine-tuning and preference optimization (DPO / RLHF).
• Evaluate model performance using standard and domain-specific benchmarks.
• Optimize inference with quantization and serving frameworks (vLLM, TGI).
• Collaborate with data engineers on preprocessing and :
• Experience : 3-6 years in ML / NLP
• Strong coding in Python and PyTorch.
• Experience with Hugging Face, DeepSpeed, or similar frameworks.
• Familiarity with distributed training and GPU optimization.
• Knowledge of transformers, attention mechanisms, and NLP workflows.
• Bonus : Experience in domain-specific fine-tuning (finance, legal, etc.).

(ref : hirist.tech)