Senior Machine Leaning Engineer - Data

Abinbev; Campinas; Presencial; BRL 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance based bonus

Private pension plan

Meal Allowance

Casual office and dress code

Health, dental, and life insurance

Transport allowance

Resumo da oferta

AB InBev Growth Group is seeking a senior ML Platform Architect to lead the ML strategy, design scalable pipelines, and drive production-grade ML systems across BEES and related platforms.

The role emphasizes end-to-end delivery, architecture standardization, and cost-efficient deployments in a data-driven environment with global teams.

Qualificações

• Bachelor's degree in computer science, engineering, mathematics, or any quantitative field.
• Masters degree is a plus.
• Strong understanding of ML platform architecture (feature stores, model registries, training/inference pipelines).
• Systems thinking on scalability, reliability, latency and cost.
• Software design patterns for production-ready ML systems.
• Proficiency in Python, PySpark and SQL; Java, Rust, NodeJS are a plus.
• Experience with Kubernetes, Databricks, Terraform, Azure DevOps, Azure Cloud, ML frameworks (BentoML, Kedro, Seldon, KServe, Triton, etc.) and libraries (Scikit-Learn, PyTorch, TensorFlow, ONNX, etc.).

Responsabilidades

• Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps.
• Own end-to-end delivery of ML pipelines—from architecture and data/feature pipelines to model development, deployment, and production scaling.
• Design and standardize the ML model development framework for consistency and reuse.
• Build observability across the model lifecycle with monitoring, logging, and alerting.
• Ensure optimized deployments that balance cost, quality, and SLA adherence.

Descrição da oferta de emprego

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:

• Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.
• Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling—in partnership with data, platform, and product teams.
• Design and standardize the ML model development framework (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
• Build and implement observability across the model lifecycle (training and production) via monitoring, logging, and alerting for performance, quality, and drift.
• Ensure optimized deployments that minimize cost and maximize quality (e.g., scaling, resource allocation, inference optimization) while meeting SLAs.

What you'll need:

• Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.
• Relevant experience with ML platform architecture (e.g., feature stores, model registries, training and inference pipelines).
• Systems thinking (scalability, reliability, latency, cost)
• Software design patterns for building maintainable, production-ready ML systems.
• Python, PySpark, and SQL. Java, Rust, and NodeJS are a plus
• Kubernetes, Databricks, Terraform, Azure Devops (Git), Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.) and ML Libraries (Scikit Learn, Pytorch, Tensor Flow, ONNX, etc.)

More about you:

• You´re motivated by building up world‑class solutions that impact millions of users all over the world;
• 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 & Affinitive Action

AB InBev Growth Group is proud to be an Equal Opportunity and Affinitive 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.