Mid Level Machine Learning Engineer

BEES; Campinas; Presencial; BRL 180 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance bonus

Attendance bonus

Private pension

Meal allowance

Casual dress code

Health & dental insurance

Medicines discounts

WellHub partnership

Childcare subsidies

Product discounts

Clube Ben partnership

Scholarship

School materials

Language training

Transport allowance

Resumo da oferta

BEES in Campinas is seeking an experienced ML Platform Engineer to build and extend scalable ML infrastructure for training, inference, and production serving across teams. You will work with platform and SRE partners to improve observability, deployment optimization, and adherence to cost, quality, and SLA targets, while promoting clean code and CI/CD practices.

The role requires a degree in a quantitative field and hands-on experience with Kubernetes, Databricks, Terraform, Azure DevOps, and

Qualificações

• Bachelor’s degree in computer science, engineering, mathematics, or a 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, and maintainable system design.
• Python, PySpark, and SQL; exposure to Java is a plus.

Responsabilidades

• Implement and extend ML platform capabilities following team standards.
• Develop ML model development workflow components for reproducibility.
• Build and operate observability for models in training and production.
• Support optimized model deployments in cost, quality, and SLA targets.
• Troubleshoot pipeline issues and share learnings.

Conhecimentos

Python

PySpark

SQL

CI/CD

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Kubernetes

Databricks

Terraform

Azure DevOps

Azure Cloud

Scikit-learn

PyTorch

TensorFlow

Descrição da oferta de emprego

About BEES

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*
• 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 & Affirmative Action

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