Build and deploy production machine learning systems across the full ML lifecycle, including dataset creation, research, experimentation, model optimization, deployment, monitoring, and LLM applications. Develop novel solutions, manage rapid prototyping pipelines, track experiments, optimize inference performance, and apply techniques such as quantization, pruning, fine-tuning, prompt engineering, and RAG. Collaborate in a fast-paced healthtech environment focused on improving post-acute care.