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Manager Machine Learning Platform - Bees Data

AB InBev | Growth Group·LATAM·Campinas, Brazil·mid
ml
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About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Lead a team responsible for building and scaling BEES’s Machine Learning Platform, enabling ML, data, product, and engineering teams to develop, deploy, operate, and govern production ML systems with speed, reliability, and quality. Translate BEES’s ML strategy into a clear platform roadmap, balancing business priorities, technical leverage, reliability, developer experience, cost efficiency, and long-term architecture. Own execution for a broad ML platform domain, with the ability to lead across MLOps, model development, model serving, infrastructure, reliability, observability, governance, and developer experience. Manage, coach, and grow a team of ML platform engineers, creating a high-performance environment with strong ownership, clear priorities, technical excellence, and continuous development. Drive end-to-end delivery of reusable platform capabilities, including ML pipeli

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