Senior Engineer AWS AI & MLOps

Job description

AI & MLOps Architect – Autonomous Driving We are seeking an AI & MLOps Architect to design, build, and scale robust, production-grade MLOps infrastructure for L2++ autonomous driving systems operating in complex urban environments. You will be responsible for end-to-end ML platform architecture on AWS, enabling scalable training, validation, deployment, and observability of perception and behavioral models that meet automotive-grade reliability, safety, and performance standards. This role sits at the intersection of machine learning engineering, cloud architecture, and automotive AI systems, and requires deep technical leadership across ML training pipelines, infrastructure automation, and multi-region scalability. Key Responsibilities: MLOps & Cloud Architecture: Design and own end-to-end MLOps architecture on AWS for autonomous driving workloads Architect multi-zone, highly available ML platforms supporting urban L2++ hands-off use cases Build and operate scalable multi-GPU training environments using Ray clusters Define infrastructure standards for compute management, networking, storage, and security AWS Platform & Infrastructure: Implement and manage: Amazon EKS / Kubernetes...