Intermediate Machine Learning Engineer

BEES; Campinas; On-site; BRL 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, and life insurance

Performance bonus

Attendance bonus

Discounts on Ambev products

Language and training platforms

Casual office and dress code

Job summary

BEES, AB InBev’s B2B platform in Brazil, seeks an ML Platform Engineer to expand and operate our ML infrastructure. You will implement training jobs, inference services, and batch workflows, following team standards and scalable architecture.

You will build observability for models in training and production, optimize deployments for cost, quality, and SLA targets, and collaborate with platform/SRE teams to ensure reliability and efficiency.

Qualifications

• BS degree in CS/Engineering/Math or related field.
• Practical experience with ML platform components (features pipelines, model registries, training/inference workflows).
• Solid software engineering fundamentals: clean code, testing, CI/CD, maintainable design.

Responsibilities

• Implement and extend ML platform capabilities (training jobs, inference services, batch and online serving).
• Develop and maintain ML model development workflow components for reproducibility.
• Build observability for models in training/production (monitoring/logging/alerting).
• Support optimized deployments (scaling, resource allocation, inference tuning) to meet SLAs.
• Troubleshoot pipelines and serving issues; document solutions and share learnings.

Skills

Python

PySpark

SQL

Clean code

Communication

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Kubernetes

Databricks

Terraform

Azure DevOps

Azure Cloud

Scikit-learn

PyTorch

TensorFlow

ONNX

BentoML

Kedro

Seldon

KServe

Triton Inference Server

Job description

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!

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

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 [e-mail] 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.

DISABILITY: Would you like to apply to this job as a person with disabilities? If YES, specify the disability: Select...

DIVERSITY: Which pronoun is right for you? (Pronouns relate to gender identity; the way in which they identify and wish to be addressed) Select...