Amazon SageMaker Architect (Chicago)

We're looking for a seasoned cloud and machine learning expert who thrives at the intersection of AWS, DevOps, and scalable ML platforms. If you enjoy building modern, production-grade ML systems and shaping cloud transformation strategies, this role is for you.What You'll Bring10+ years of overall experience, including 7+ years leading AWS cloud transformation and DevOps initiativesDeep expertise in building and managing end-to-end machine learning lifecycles using Amazon SageMakerProven ability to design, deploy, and optimize CI/CD pipelines for ML workflows, including model containerization with Docker and deployment via SageMaker endpointsStrong experience in monitoring model performance, ensuring model health, and maintaining robust, scalable infrastructureSolid understanding of data governance, security, and compliance in cloud-based ML environmentsWhat You'll DoArchitect and implement production-grade ML platforms on AWSEstablish best practices for ML Ops, CI/CD, and automated deploymentsDrive observability, reliability, and performance improvements across hybrid cloud ecosystemsDefine and manage persona-based access controls using SageMaker Role ManagerSet up and manage SageMaker Studio domains, user profiles, and secure VPC configurationsWhat Makes You Stand Out5+ years of AWS architecture experienceAWS Solutions Architect CertificationStrong grasp of DevOps, SRE principles, and modern observability tools