Data Science Manager

Requirements Strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale models (LLMs, transformers, diffusion models, etc. ). Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches such as LoRA, prefix tuning, adapters, and quantization-aware training. Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem, and good to have distributed training frameworks (e. g., DeepSpeed, PyTorch Lightning, Ray). Basic u…