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The role involves building and maintaining AI/ML infrastructure, managing machine learning model lifecycles, and supporting AI/ML scientists with tooling for deployment. Additionally, it includes improving engineering processes and setting high-quality standards.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

The Staff Software Engineer will lead IAM technology, architect scalable authorization systems, ensure service-level outcomes, and mentor other engineers.

The Engineering Manager will lead a team to build scalable software solutions, manage project delivery, and foster team growth while ensuring high-quality results.