ML Engineer

Requirements:

• Strong experience in fine-tuning and optimising Large Language Models (LLMs).
• Hands-on experience with LoRA, QLoRA, SFT, DPO, RLHF, or similar fine-tuning techniques.
• Proficiency in PyTorch and Hugging Face ecosystem (Transformers, PEFT, TRL).
• Experience with distributed and multi-GPU model training.
• Strong understanding of model performance, evaluation, and optimisation.
• Knowledge of DeepSpeed, Megatron-LM, and large-scale training frameworks.
• Understanding of AI/ML pipelines, data preparation, and model deployment.
• Experience working with open-source and sovereign LLMs; focus on standard, production-proven frameworks.