This role offers the chance to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation. The Machine Learning Engineer will apply expertise to build advanced AI/ML solutions, enhancing our AuditBoard product portfolio with features like predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights. The role involves building and shipping product features end-to-end and creating high-performing product features. The engineer will write well-designed, maintainable, and testable code, staying updated on AI/ML advancements.