MLOps Platform Engineer
Kaygen, Inc.
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
Vacancy posted 2 days ago
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