Data Science Manager - Computer Vision and Generative AI

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.

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.

The Computer Vision Data Science Manager will lead a team of deep learning scientists responsible for building and scaling advanced computer vision solutions. This role combines people leadership, technical guidance, and strategic vision to deliver high-impact AI systems that transform visual data into actionable insights and automated decision-making capabilities.

The manager will act as a senior technical reference for computer vision and multimodal AI initiatives, ensuring the development of scalable and production-ready models. The role also involves defining the long-term vision for the capability, enabling innovation across areas such as object detection, image classification, multimodal understanding, and synthetic data generation.

• →Team Leadership: Build, mentor, and retain a high-performing team of computer vision and generative AI scientists, fostering a collaborative, innovative, and results-driven environment.
• →Technical Leadership: Guide the design, development, and deployment of scalable computer vision systems for tasks such as object detection, classification, visual similarity, and multimodal understanding, ensuring strong engineering and modeling practices.
• →Strategic Direction: Define and drive the short-, mid-, and long-term strategy for computer vision and generative AI initiatives, aligning technical investments with business priorities and product needs.
• →Model & Platform Excellence: Oversee the development of robust deep learning models and production-ready ML systems, promoting scalable training, inference, and deployment pipelines using modern MLOps practices and cloud-based infrastructure.
• →Cross-functional Impact: Partner closely with product managers, engineers, and business stakeholders to prioritize initiatives, translate business challenges into AI solutions, and deliver measurable impact.
• →Innovation & Best Practices: Stay at the forefront of advancements in computer vision and generative AI, bringing new techniques, tools, and methodologies into the team to continuously improve capabilities and accelerate experimentation.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or another quantitative field; a Master’s or PhD is strongly preferred.
• Proven experience leading data science or machine learning teams, with strong people management and mentoring skills.
• Deep expertise in computer vision and deep learning, including object detection, image classification, and visual similarity techniques.
• Experience working with multimodal models and transformer-based architectures.
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong experience building and deploying machine learning systems in production environments using software development best practices.
• Experience with cloud environments and distributed data processing, especially Azure, Databricks, and Spark.
• Strong communication and stakeholder management skills with the ability to translate complex technical topics into business value.
• Advanced English proficiency and experience working in global cross-functional environments.

• Experience with emerging computer vision approaches such as scene reconstruction, synthetic data generation, or simulation-based training environments.
• Familiarity with generative AI techniques applied to visual data, including multimodal or vision-language models.
• Experience working in innovation-driven environments, early-stage AI initiatives, or contributing to the development of production-grade software systems.

• Level: Manager
• Work model: Hybrid 3x in office (São Paulo-SP or Campinas-SP)
• Hiring model: CLT

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.

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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. 

For more information: www.abinbev.com