Design, deploy, and maintain elastic scaling cloud infrastructure
Build automated pipelines for training, testing, and deploying machine learning models
Implement observability tools to track model drift, accuracy, latency, and performance degradation
Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers
Implement comprehensive monitoring for system health alongside ML-specific metrics
Deploy tools that empower individual teams to monitor their workloads
Participate in on-call rotation, help manage compliance with standards

Principal Platform Engineer

Key skills