Mid Level Machine Learning Engineer New Campinas, São Paulo, Brazil

BEES; Campinas; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance based bonus

Attendance Bonus

Casual office and dress code

Health, dental, and life insurance

Discounts on Ambev products

Language and training platforms

Resumo da oferta

BEES is seeking a skilled ML Platform Engineer for our Campinas team to advance the ML model development workflow, training/inference pipelines, and model observability across environments.

You will collaborate with cross‑functional groups to ensure scalable, reliable, and cost‑efficient model deployments, while applying best practices in software engineering and DevOps.

Qualificações

• Bachelor’s degree in CS, engineering, math or related quantitative field.
• Practical experience with ML platform components (feature pipelines, model registries, training and inference workflows).
• Strong software engineering fundamentals: clean code, testing, CI/CD, maintainable design.
• Python, PySpark, and SQL; Java is a plus.
• Experience with Kubernetes, Databricks, Terraform, Azure DevOps, Azure Cloud, and ML frameworks such as Scikit-learn, PyTorch, TensorFlow, ONNX; serving tools like BentoML, Kedro, Seldon, KServe, Triton.

Responsabilidades

• Implement and extend ML platform capabilities following architecture and standards.
• Develop and maintain ML workflow components for reproducibility.
• Build and operate observability for models in training and production.
• Support optimized deployments balancing cost, quality, and SLA targets.
• Troubleshoot pipelines and document solutions.

Conhecimentos

ML platform components

Python

PySpark

SQL

Kubernetes

Databricks

Terraform

Azure DevOps

Azure Cloud

Scikit-learn

PyTorch

TensorFlow

ONNX

BentoML

Kedro

Seldon

KServe

Triton Inference Server

Formação académica

Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field

Ferramentas

Databricks

Terraform

Azure DevOps

Git

Kubernetes

Seldon

KServe

Triton

Descrição da oferta de emprego

At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.

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 & Affirmative Action:

ABI GrowthGroup 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 GrowthGroup is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

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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 [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.

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