• Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution • Design systems to enable rapid ML development, high availability, and clear observability • Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development • Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products • Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes • Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives • Communicate complex technical issues to both technical and non-technical audiences effectively • Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements • Deliver, update, and maintain machine learning infrastructure to meet evolving needs • Host ML models to product teams, monitor performance, and provide necessary support • Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability • Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues • Participate in on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments • Perform Code Reviews within your group’s products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)