Your Journey at Crowe Starts Here: At Crowe, you have the opportunity to deliver innovative solutions to today's complex business issues. Crowe's accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a "Best Place to Work." We are 75 years strong and still growing. Come grow with us! Job Description: About Applied AI and Machine Learning at Crowe Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts to create AI-powered software-as-a-service. Our world-class AI and ML professionals give Crowe the ability to capture and harness the power of data. A combination of Machine Learning Engineers and ML DevOps Engineers create and deploy AI functionality to solve complex problems. We focus on building scalable AI products, based on rigorous data exploration, validation via proof-of-concept buildout, and close partnership with subject matter experts across business areas. You will learn and build on a wide range of technologies - distinguishing Crowe in the market and driving the firm's technology and innovation strategy. About the Team We foster good science. You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work. We want to make good scientists better. MLEs have plenty of options on the job market. We want to be one of the best. We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly "10P" independent time for ongoing learning. We value work-life balance. Our distributed team offers unlimited PTO and a flexible work-from-home policy. We actively discourage weekend and off-hours work (unless that's genuinely your thing). About the Role As a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe's in-house Generative AI platform and to leverage Large Language Models (LLMs). You will lead the team in architecting a solution that not only enhances predictive accuracy but also streamlines user interactions with the product, reducing the need for extensive data labeling and training time. This role is not just about technical expertise; it's about envisioning a transformative user experience, directly impacting the efficiency and capabilities of Crowe internal team and client operations. Role Responsibilities Architect and drive the technical vision for CIDA, leading the development and implementation of modern predictive approaches that merge LLM capabilities with existing NLP solutions. Collaborate with Product Manager and internal client teams to understand end user needs and translate these into technical solutions that simplify and improve user experience. Set high standards for day-to-day code quality and research best practices, while proactively identifying improvements that benefit the product and/or development team. Analyze and escalate areas of future risk, plan mitigations, and collaborate closely with partner teams to resolve issues. Develop and execute test plans and automation opportunities, as applicable. Partner with Machine Learning DevOps to understand requirements for product scalability, stability, and main