Sr Machine Learning Engineer( Austin based)

The Opportunity: As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents.

Key Responsibilities: Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction. Collaborate with multi-disciplinary teams including data scientists, ml engineers, healthcare clients, and product managers to deliver robust solutions. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards. Deep understanding of various training techniques including distributed training on GPUs and TPUs. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.