Production Engineer, Applied Machine Learning Engine (Singapore)

Build and operate highly available machine learning training, inference, and storage systems for large-scale AML services. Own production operations stability, including scheduling/orchestration, Kubernetes and GPU cluster management, incident diagnosis, SLO/SLA governance, observability, on-call, and disaster recovery. Drive CI/CD with canary deployments, automated rollback, health checks, and capacity forecasting, while optimizing GPU/CPU/storage/network resource governance and performance.