Intermediate Machine Learning Engineer - Bees Data New Campinas, Brazil

BEES; Campinas; Híbrido; BRL 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance based bonus

Attendance Bonus

Casual office and dress code

Days off

Health, dental, and life insurance

Discounts on Ambev products

School materials assurance

Language and training platforms

Resumo da oferta

AB InBev Growth Group seeks an ML Platform Engineer to extend and operate the ML stack, including training, inference, and deployment workflows. You’ll collaborate across teams to ensure scalable, observable models and cost-aware deployments.

The role emphasizes strong software fundamentals, Python/PySpark/SQL, and experience with Kubernetes, Databricks, Terraform, and cloud ML tooling. Office-based in Campinas, Brazil.

Qualificações

• Bachelor's degree in a quantitative field is required.
• Hands-on with ML platform components: feature pipelines, model registries, training and inference workflows.
• Strong software engineering basics: clean code, testing, CI/CD, maintainable design.
• Experience with Python, PySpark, SQL; exposure to Java is a plus.

Responsabilidades

• Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving) following team standards.
• Develop and maintain the ML model development workflow to improve reproducibility and reuse.
• Build and operate observability for models in training and production with monitoring, logging, and alerting.
• Support optimized model deployments by tuning resources, scaling, and cost-management.

Conhecimentos

Python

PySpark

SQL

Kubernetes

Databricks

Terraform

Azure DevOps

ML frameworks

Scikit-learn

PyTorch

TensorFlow

ONNX

Seldon

KServe

Triton

BentoML

Formação académica

Bachelor's degree in Computer Science, Engineering, Mathematics

Ferramentas

BentoML

Kedro

Seldon

KServe

Triton Inference Server

Descrição da oferta de emprego

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:

• Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving) following team architecture, standards, and best practices.
• Develop and maintain components of the ML model development workflow (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
• Build and operate observability for models in training and production—monitoring, logging, and alerting for performance, quality, and drift—in collaboration with platform and SRE partners.
• Support optimized model deployments (scaling, resource allocation, inference tuning) to meet cost, quality, and SLA targets.
• Troubleshoot pipeline and serving issues, document solutions, and share learnings with the team.

What you'll need:

• Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field.
• Practical experience with ML platform components (e.g., feature pipelines, model registries, training and inference workflows).
• Solid software engineering fundamentals: clean code, testing, CI/CD, and maintainable system design.
• Python, PySpark, and SQL. Exposure to Java is a plus.
• Experience with Kubernetes, Databricks, Terraform, Azure DevOps (Git), Azure Cloud, and ML frameworks/libraries such as Scikit-learn, PyTorch, TensorFlow, ONNX, and serving tools (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.).
• Comfort collaborating across teams, communicating technical tradeoffs clearly, and learning from senior engineers on architecture and platform decisions.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & affirm…

AB InBev Growth Group is proud to be an Equal Opportunity and Aff…