Machine Learning Engineer

Gemburg is seeking a Machine Learning Engineer to develop and deploy machine learning solutions for healthcare applications. The role focuses on large language models, vision-language models, natural language processing, model productionization, healthcare compliance, and mentoring junior technical staff.

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