Intermediate Machine Learning Engineer - Bees Data

Build and extend ML platform capabilities for training and inference, supporting both batch and online serving. Own key components of the ML model development workflow—experimentation, versioning, and reproducibility—to improve reuse across teams. Implement observability for model performance, quality, and drift, and help optimize deployments to meet cost, quality, and SLA targets. Troubleshoot pipeline and serving issues and share learnings across the group.