2 mls jobs found

Overview Major League Soccer is building advanced AI and data platforms to power fan intelligence, personalization, and data-driven decisioning across the organization.   The Principal AI/ML Engineer, Semantic Data will design and build the semantic intelligence layer that enables consistent understanding of fan data, business concepts, and operational workflows across MLS systems.   This role combines semantic data systems with applied LLM engineering to build grounded, production-grade AI capabilities.   This is a systems engineering role responsible for building and scaling real-world AI infrastructure, including knowledge graphs, retrieval systems, and LLM-powered applications.   Responsibilities AI & Knowledge Systems Development Design and implement embedding pipelines across fan data, content, metadata, and behavioral signals Build metadata and enrichment systems that normalize and structure enterprise data for...

We are seeking an individual with excellent attention to detail to join our team as a Data Engineer. In this role, the successful candidate will lead the design, development and maintenance of a best-in-class data infrastructure, delivering scalable data pipelines and ensuring high-quality data is available for analysis and decision-making across the Club. The successful candidate will provide key stakeholders with clean, reliable, accessible and actionable data, contributing to the development of SKC’s data ecosystem. Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply. People  Work closely with coaches, analysts, scouts, performance coaches and other key stakeholders to understand data...