MLOps Platform Engineer

W2 contract (only USC/GC) 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operation s5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store )3+ years building and operating production MLOps pipelines — training, versioning, deployment, monitoring, rollbac kExperience with SageMaker Unified Studio or Studio Classic — domain/project setup, blueprints, multi-tenant configuratio nInfrastructure-as-Code with Terraform, CDK, or CloudFormatio nIAM design for ML platforms — execution roles, service roles, cross-account access, Lake Formation, SSO/SAM LMLflow or equivalent experiment trackin gSageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions )Model serving — real-time endpoints, batch transform, auto-scaling, endpoint monitorin gSnowflake as a data source for ML pipeline sKubernetes (EKS) and container orchestratio nNetworking and security — VPC, security groups, private endpoints, cross-account connectivit y Show more Show less