Intermediate Machine Learning Engineer
BEES, Campinas, São Paulo, Brazil +1
What you will 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 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).