MLOps Platform Engineer in Plano, TX

Hi We have an urgent role of MLOps Platform Engineer. URGENT HIRE! MLOps Platform Engineer Plano, TX – Onsite • This position is with Enterprise Analytical Data & Integration Team and the hiring manager is looking to onboard MLOpsPlatform Engineer (Sagemaker) who is expert in Sagemaker (key skillset) and AWS. • Local candidates preferred, 12 months contract with extension, Onsite role. • Must Haves: • 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations • 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store) • 3+ years building and operating production MLOps pipelines - training, versioning, deployment, monitoring, rollback • Experience with SageMaker Unified Studio or Studio Classic - domain/project setup, blueprints, multi-tenant configuration • MLflow or equivalent experiment tracking • SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions) • Unified Studio is preferred to have but Classic is must have. Qualifications/ What you bring (Must Haves) - Highlight Top 3-5 skills

• 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
• 5+ 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, rollback
• Experience with SageMaker Unified Studio or Studio Classic - domain/project setup, blueprints, multi-tenant configuration
• Infrastructure-as-Code with Terraform, CDK, or CloudFormation
• IAM design for ML platforms - execution roles, service roles, cross-account access, Lake Formation, SSO/SAML
• MLflow or equivalent experiment tracking
• SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
• Model serving - real-time endpoints, batch transform, auto-scaling, endpoint monitoring
• Snowflake as a data source for ML pipelines
• Kubernetes (EKS) and container orchestration
• Networking and security - VPC, security groups, private endpoints, cross-account connectivity Added bonus if you have (Preferred): - SageMaker Unified Studio domain provisioning, custom blueprints, project standardization
• SageMaker Feature Store for online/offline feature management
• SageMaker Model Monitor - data quality checks, bias detection, drift detection
• AWS Machine Learning Specialty certification Show more Show less