BEES
BEES7h ago
New

Senior Machine Learning Engineer

BrazilBrazil·Campinassenior
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.

Technical Tools
Machine Learning EngineerData

 

Join us to build the future of B2B commerce!  

BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. 
At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.  

Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!  

 

 

Responsibilities

~1 min read
  • 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.

 

  • 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 is 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.)

 

  • You´re motivated by building up world class solutions that impacts 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

~1 min read
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

ABI 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, ABI 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.bees.com and www.abinbev.com 

 

Location & Eligibility

Where is the job
Campinas, Brazil
On-site at the office
Who can apply
BR

Listing Details

Posted
August 7, 2026
First seen
August 7, 2026
Last seen
August 7, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
67%
Scored at
August 7, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
BEES
BEES
greenhouse
Employees
30
Founded
2013
View company profile
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BEESSenior Machine Learning Engineer