3 months ago
Campinas, BrazilMid Level
Responsibilities
- Implement and extend ML platform capabilities for training jobs, inference services, and batch and online serving.
- Develop and maintain workflows for ML project structure, experimentation, versioning, and reproducibility.
- Build and operate monitoring, logging, and alerting for model performance, quality, and drift in training and production.
- Optimize model deployments through scaling, resource allocation, and inference tuning to meet cost, quality, and SLA targets.
- Troubleshoot pipeline and serving issues, document solutions, and share technical learnings with the team.
Requirements
- Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field.
- Practical experience with feature pipelines, model registries, and training and inference workflows.
- Strong software engineering fundamentals, including clean code, testing, CI/CD, and maintainable system design.
- Experience with Python, PySpark, and SQL; Java exposure is a plus.
- Experience with Kubernetes, Databricks, Terraform, Azure DevOps, Git, Azure Cloud, ML frameworks, and model-serving tools.
- Ability to collaborate across teams, communicate technical tradeoffs clearly, and learn from senior engineers on architecture and platform decisions.
Benefits
- Performance-based bonus, attendance bonus, private pension plan, meal allowance, days off, and transport allowance.
- Health, dental, and life insurance; medicine discounts; childcare subsidies; and school materials assurance.
- WellHub partnership, discounts on Ambev products, Clube Ben partnership, scholarship, and language and training platforms.
- Casual office and dress code.
Categories
About BEES
BEES builds a B2B digital commerce and marketplace platform for small and medium retailers to order products, manage invoices, and track deliveries from AB InBev and partner suppliers. The business supports online ordering, promotions, and data-driven sales tools across 29 countries. Created by and owned by AB InBev, BEES is headquartered in Rotkreuz, Zug, and focuses on digitizing distributor-to-retailer workflows in beverage and adjacent categories.