Java / Python. / AI Architect with 15+ years experience WHAT YOU GET :AI - - - - - Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed). - Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). - Expertise in various types of transformers and state space models. - Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. - Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. - Expertise in containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. - Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. - Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters Industry- - - - - Proven track record of creating industry best wow experiences for fintech & insurtech b2b (e.g. J.P. Morgan & Chase) and b2c customers and achieving dramatic cost reductions through AI based automation