ML Engineer

Description Docyt, a fast-growing Fintech startup based in Silicon Valley, is seeking a talented ML Engineer to join its team in revolutionizing financial data management. Docyt is a super app that uses AI across the entire accounting tech stack, digitizing financial data, automating income and expense workflows, continuously reconciling QuickBooks, and generating real-time financial statements. As the ML Engineer, you will work closely with our product and engineering teams to develop and implement machine learning models that will help our customers extract the maximum value from their financial data. You will also help build and deploy cloud-based machine learning infrastructures, develop and tune machine learning algorithms, and work closely with engineering to ensure optimal performance of the developed models. Responsibilities Design and develop innovative machine learning models and algorithms for financial data management. Build and deploy cloud-based machine learning infrastructures, including data pipelines, training, and scoring services. Implement machine learning algorithms into production with engineering team. Work to troubleshoot and optimize machine learning models performance. Participate in the design of experiments and data collection. Collaborate closely with cross-functional teams, including product, engineering, and business teams, to ensure delivery of high-quality features in a timely manner. Stay up-to-date with the latest trends in machine learning, artificial intelligence, and cloud computing.