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Senior Data Scientist - Deep Learning

Campinas, Brazil

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.

About the Role

The Senior Data Scientist will be responsible for developing solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models. This role involves tackling strategic challenges, combining traditional computer vision techniques with cutting-edge scene reconstruction and generative AI, focusing on detection, classification, visual similarity, synthetic data generation, and multimodal interpretation. 

You will work in a highly collaborative, global environment, transforming visual data into robust and scalable models, ensuring automation, efficiency, and high performance across implemented pipelines. We are looking for someone with an analytical mindset, curiosity, a strong technical foundation in the mentioned areas, excellent communication skills, a collaborative spirit, and a passion for innovation and continuous learning. 

What You Will Do 

  • Fine-tune open-source object detection models (e.g., YOLO, RT-DETR, and similar architectures), applying them to real-world problems with an emphasis on performance, accuracy, and scalability.
  • Develop and adapt image classification models, with experience in architectures such as EfficientNet, MobileNet, and ResNet, focusing on production readiness.
  • Work with Siamese networks for verification and visual similarity tasks, applying fine-tuning and optimization strategies for image comparison and visual integrity validation.
  • Apply and customize multimodal generative and instruction-following models such as Qwen-VL, PaliGemma, and BLIP, using fine-tuning techniques like LoRA and QLoRA, focusing on image-text alignment.
  • Have knowledge of scene reconstruction techniques such as NeRF or Gaussian Splatting, and hands-on experience with frameworks like Nerfstudio or similar.
  • Work with large volumes of visual data, coordinating curation, annotation, and qualitative evaluation strategies to ensure diversity and quality in image datasets.
  • Generate and use synthetic and 3D data as complementary sources for training and evaluating models, supporting their creation and curation to enhance model generalization and robustness.
  • Automate, version, and monitor training, inference, and deployment pipelines using Python, PySpark, MLflow, GitHub Actions, Docker, and CI/CD, running on cloud infrastructure (especially Azure and Databricks).
  • Collaborate with data engineers, data scientists, PMs, and business stakeholders, ensuring technical alignment and strategic impact of developed solutions.
  • Work in an agile, global environment, participating in Scrum/Kanban ceremonies, technical reviews, and continuous delivery and learning cycles. 

 What You Need to Have 

  • Bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, Operations Research, or related fields. A master’s or PhD in a relevant area is a plus.
  • General and foundational knowledge in data science and statistics, including data analysis, modeling, and validation techniques.
  • Strong background in Deep Learning, including mastery of Transformer architectures and advanced algorithms applied to real-world problems.
  • Hands-on experience building models for object detection, image classification, visual information extraction, and multimodal interpretation.
  • Proficiency in TensorFlow or PyTorch, with experience in model development and deployment.
  • Experience with cloud computing, particularly Azure, Databricks, and Spark, for large-scale data processing.
  • Expertise in Python and PySpark, plus familiarity with data manipulation and modeling libraries and frameworks.  
  • Knowledge of version control and collaboration tools such as GitHub, and experience with CI/CD pipelines for data and model projects.
  • Understanding of automation workflows, model monitoring, and best practices for maintaining performance and robustness.
  • Advanced English to operate in a global environment.
  • Strong interpersonal skills, communication, teamwork, organization, autonomy, and focus on delivering high-quality results

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. 

For more information: www.abinbev.com 

 

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Demographic Brazil

ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

When you apply to a job on this site, the personal information contained in your application will be collected by ABINBEV SERVICES LLC. Your personal information will be processed in accordance with the law for the purposes of managing ABINBEV’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.

On a voluntarily basis and subject to receiving your express consent, you’ll be asked demographic questions about your ethnicity, gender, sexual orientation and ability status. We collect this information for the purposes of supporting a diverse and inclusive workforce - it will not be considered in the hiring process or thereafter and all information will be reviewed collectively rather than individually. We won’t sell or share this information with third parties, but please note that we use Greenhouse Software Inc to manage the recruitment and hiring process on our behalf.

Your personal information will be retained by us for 2 (two) years from collection. You have the right to request access to your personal information, to request that your personal information be rectified or erased, and to request that processing of your personal data be restricted at any time. You can do so by contacting https://contactus.ab-inbev.com/ if you are located outside Europe, and emailing abi-team@firstprivacy.com if you are located in Europe. We expect that our procedures will deal fairly and promptly with your request. However, if you remain dissatisfied, you have the right to lodge a complaint with your local data protection authority.

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