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,…
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,…
Skills: Power BI, SQL, Data modeling, DAX, Data visualization
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Brand & Performance Insights Analyst - Internship position
Campinas, São Paulo, Brazil · On-site
Entry level$2.5B raised
We are looking for a Brand & Performance Insights Intern to join the Insights Team. Reporting to the Brand & Performance Strategist - Seasonal brands, you will play a key role in supporting the translation of data into i…
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Overview Conectando clientes aos mercados – e talentos às oportunidades Com mais de 5.400 colaboradores e mais de 80.000 clientes institucionais, comerciais e de pagamentos, operamos em mais de 80 escritórios distribuído…
Skills: Operational controls, Financial controls, Reconciliations, Data validation, Accounting
Product Owner Pleno - Operações de Crédito Pessoal - Campinas/SP
Campinas, São Paulo, Brazil · On-site
Mid level$1.7B raised
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Skills: Product management, Agile methodologies, Scrum, Kanban, Data analysis
About BEES Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEE…
About BEES Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEE…
About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, …
About BEES Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEE…
About AB InBev 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 Am…
Skills: SQL, Power BI, Data analysis, DAX, Data modeling
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,…
Skills: SQL, Power BI, DAX, Data modeling, Data visualization
About AB InBev 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 Am…
Skills: SQL, Python, Power BI, Data analysis, Statistical modeling
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,…
Skills: SQL, Python, Power BI, Data analysis, Statistical modeling
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Full-time
bachelor degree
Performance Based Bonus, Attendance Bonus, Private Pension Plan, Meal Allowance, Health Insurance, Dental Insurance
Posted 8h ago
~40 hrs/week
Remote in Brazil
Responsibilities
Own the product direction for platform capabilities supporting the end-to-end machine learning lifecycle from data readiness to observability. Define the ML platform strategy and drive the adoption of standardized workflows and tools across data science teams.
Requirements
Requires a technical degree and professional experience in data science, ML engineering, or software engineering with proficiency in Python and SQL. Must have strong fluency in MLOps topics and the ability to communicate complex technical trade-offs in English.
Full job description
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.
As a Data Product Manager | Machine Learning Platform, you will own the product direction for a critical set of platform capabilities supporting the end-to-end machine learning lifecycle, from data and feature readiness through model development, deployment, and observability.
You will work closely with data scientists, machine learning engineers, data engineers, and platform teams, driving the evolution of a platform that enables safe, scalable, and consistent delivery of machine learning solutions.
What you'll do:
Define and Advance ML Platform Strategy
Set the vision and roadmap for your platform domain, prioritizing self-service, reliability, and reusability across the ML lifecycle.
Define and evolve standards, contracts, and shared tooling that enable scalable adoption of platform capabilities.
Drive Adoption and Platform Delivery
Partner closely with data science, ML engineering, and data engineering teams to identify workflow bottlenecks and platform gaps.
Deliver capabilities such as templates, CLIs, and standardized workflows, enabling users to execute repeatable tasks independently within clear guardrails.
Advance key platform capabilities, including: Feature governance; Training-serving parity; Model release and promotion standards; Deployment patterns (batch and real-time); Observability and monitoring.
Enable Scalable Machine Learning Operations
Improve and standardize how models move from development to production, reducing manual effort and increasing reliability.
Ensure platform capabilities provide clear ownership, consistent practices, and strong operational visibility.
Drive adoption of shared platform components across multiple data science teams and markets.
What you'll need:
Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field — or equivalent practical experience
Relevant years of professional experience with a strong technical foundation
Hands-on experience as a data scientist, machine learning engineer, or software engineer is strongly preferred
Experience working on complex, cross-functional technical problems involving data and platform systems
Fluency in English (required)
Portuguese or Spanish is a plus
Strong written and verbal communication skills
Comfortable discussing technical architecture, workflows, and trade-offs in depth;
Advanced communication skills in English (written and spoken);
Python (required): ability to read, understand, and reason about pipeline and platform code; discuss implementation trade-offs with engineers
SQL (required): ability to run independent investigations to validate data, features, and metrics;
Strong fluency in Machine Learning lifecycle and MLOps topics (e.g. Model training, evaluation, and experimentation; Monitoring, drift detection, and production operations; CI/CD for ML workflows; etc)
Nice to Have:
Experience with Databricks and Azure.
Prior product management experience on developer, data, or ML platform products.
Familiarity with product and project management tools (Jira, Confluence).
Experience defining and prioritizing a roadmap, backlog, or release plan.
Comfort writing clear requirements, user stories, or acceptance criteria that engineering teams can execute against.
More about you:
You´re passionate about software development and knows how to ensure its quality;
You´re motivated by building up world class solutions that impacts millions of users all over the world;
Experienced working in an environment which uses and stimulates DevOps culture;
You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
You can communicate clearly with your team and the company to identify issues and demands;
You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.
What We Offer:
Performance based bonus*
Attendance Bonus*
Private pension plan
Meal Allowance
Casual office and dress code
Days off*
Health, dental, and life insurance
Medicines discounts
WellHub partnership
Childcare subsidies
Discounts on Ambev products*
Clube Ben partnership
Scholarship*
School materials assurance
Language and training platforms
Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
As a company, we dream big to create a future with more cheers. We are always looking to serve up new ways to meet life’s moments, move our industry forward and make a meaningful impact in the world. We are committed to building great brands that stand the test of time and to brewing the best beers using the finest ingredients.
Our diverse portfolio of well over 500 beer brands includes global brands Budweiser®, Corona® and Stella Artois®; multi-country brands Beck’s®, Hoegaarden®, Leffe® and Michelob ULTRA®; and local champions such as Aguila®, Antarctica®, Bud Light®, Brahma®, Cass®, Castle®, Castle Lite®, Cristal®, Harbin®, Jupiler®, Modelo Especial®, Quilmes®, Victoria®, Sedrin®, and Skol®.
Our brewing heritage dates back more than 600 years, spanning continents and generations. From our European roots at the Den Hoorn brewery in Leuven, Belgium. To the pioneering spirit of the Anheuser & Co brewery in St. Louis, US. To the creation of the Castle Brewery in South Africa during the Johannesburg gold rush. To Bohemia, the first brewery in Brazil.
Geographically diversified with a balanced exposure to developed and developing markets, we leverage the collective strengths of approximately 167,000 colleagues based in nearly 50 countries worldwide.
Offices: Brouwerijplein 1, Leuven, 3000, BE · 250 Park Ave, New York, NY 10177, US · 125 W. 24th Street, New York, NY 10011, US · Piazza Francesco Buffoni, 3, Gallarate, Lomb. 21013, IT · Ceresstraat 1, Breda, North Brabant 4811 CA, NL
Beer production and salespremium drinksmarketinginnovationsustainabilitysocial responsibilitybrand managementbeerbeveragesconsumer goods