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 ABI Growth Group
ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.
This role will be largely dedicated to BEES, which is on a mission to transform ABI’s business-to-business sales model by putting customers and data at its heart. Whether you are a small to medium sized retailer or a supplying partner, BEES provides you with the tools, data, and insights you need to help your business thrive. Today, more than 2.5 million retailers across 19 countries use BEES every month to browse for products, place orders, earn rewards, arrange deliveries, manage invoices, and access business insights all from one place.
Learn more on how BEES keeps business buzzing at www.bees.com.
Work location: Campinas, SP
About the Role
As Senior Machine Learning Engineer, you will be responsible for developing and implementing ML Engineering solutions to productize and scale AI/ML use-cases. You will work alongside complementary profiles like data scientists, data engineers, and product managers to form autonomous, self-managed pods tasked with developing our global, scalable Machine Learning Platform and the ML applications that will run on it.
You are expected to be an experienced, empathetic, and highly adept team member who can inspire your colleagues and contribute to the success of the entire team. You are passionate about achieving business results from productizing data science applications in e-commerce. You love staying on top of the latest tech, methods, and tools, and quickly translate external content into new experiments to drive value.
For the successful candidate, this role will offer a unique opportunity to help accelerate the scaling of our end-to-end data science strategy for a large company with a lot of consumer influence and significant, diverse data assets available at a fingertip in a highly engineering-driven environment with both streaming and batch architectures. Exposure to leadership, ownership, and accountability are commonplace, and problems are solved collectively!
What you'll do
· Develop and implement world-class, scalable Machine Learning Platform.
· Design and rollout ML Ops methodology standards, and best practices, supporting its adoption by all advanced analytics products.
What you'll need
· Bachelor's or Master's degree in Computer Science or related field.
· Minimum of 3 years of experience in machine learning engineering.
· Excellent problem-solving skills and ability to work under pressure.
· Solid software engineering and data management skills.
· Experience in using cloud platforms to deploy scalable, reliable, and performing solutions.
· Excellent communication skills, comfortable conveying complex ideas to a diverse audience.
· Fully fluent in English and Portuguese, proficiency in Spanish a plus.
What We Offer:
Equal Opportunity & Affirmative Action:
We are 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.