Senior AI Engineer (Machine Learning, Cloud)

As an AI Engineer Level 3, you will lead LLM development, AI infrastructure scaling, and distributed training. You will optimize high-performance AI systems, manage multi-GPU environments, and deploy AI models at scale. Build and lead a team, enhancing overall technical capabilities and performance. Key Responsibilities:  Make a proposal of AI solution in align with a set of customer requirements and goal.  Build and lead a team, enhancing overall technical capabilities and performance.  Optimize Large Language Models (LLMs) & AI models, including:  Efficient training of LLMs (DeepSpeed, FSDP, LoRA)  Deploying models with Kubernetes, Ray, Triton Inference Server  Optimizing model inference speed with ONNX, TensorRT, GGUF, vLLM  Implementing Retrieval-Augmented Generation (RAG) pipelines  Applying AI distillation and quantization techniques  Work with HPC infrastructure and distributed AI computing.  Implement system monitoring tools (htop, tcpdump, iostat, netstat).  Troubleshoot AI system performance bottlenecks.