Senior Machine Learning Engineer - Bees Data
On-siteCampinas, São Paulo, Brazil
Job Summary
Drive BEES AI's technical roadmap by aligning architecture and standards with long-term goals. Own end-to-end delivery of ML pipelines, managing everything from data and feature engineering through model deployment and production scaling. Design and standardize the model development framework to ensure consistency, while implementing observability across the training and production lifecycle via monitoring, logging, and alerting. Optimize deployments to minimize cost and maximize quality while meeting SLAs. Requires a bachelor's degree in a quantitative field, experience with ML platform architecture, and proficiency in Python, PySpark, SQL, and cloud tools like Kubernetes and Azure. Reports to the Growth Group, supporting global digital transformation initiatives.
Required Qualifications
- Bachelor's degree in computer science, engineering, mathematics, or any quantitative field
- Relevant experience with ML platform architecture (e.g. feature stores, model registries, training and inference pipelines)
- Systems thinking (scalability, reliability, latency, cost)
- Software design patterns for building maintainable, production-ready ML systems
- Python
- PySpark
- SQL
- Kubernetes
- Databricks
- Terraform
- Azure Devops (Git)
- Azure Cloud
- ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.)
- ML Libraries (Scikit Learn, Pytorch, Tensor Flow, ONNX, etc.)
Desired Qualifications
- A master's degree
- Java
- Rust
- NodeJS
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