AWS MLOps Engineer
Responsibilities Architect and implement scalable infrastructure for AI and ML workloads (training, evaluation, inference). Design and operate Kubernetes-based platforms for multi-tenant, production AI systems. Build and refine MLOps pipelines covering model versioning, experiment tracking, CI/CD, deployment, monitoring, and rollback. Establish DevOps best practices across infrastructure, application, and ML layers. Lead...