MLOps Platform Engineer (SageMaker)

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: MLOps Platform Engineer (SageMaker)

Location(s): Onsite

This position is with the Enterprise Analytical Data & Integration Team. The ideal candidate will have extensive experience in cloud infrastructure or ML platform operations with a specific focus on AWS and Amazon SageMaker. The role involves designing building and operationalizing an enterprise ML platform on AWS SageMaker Unified Studio.

• Set up SageMaker Unified Studio platform domain configuration project provisioning persona-based roles and multi-environment promotion workflows.
• Build MLOps pipelines using SageMaker Pipelines data extraction from Snowflake preprocessing training evaluation and model registration.
• Manage SageMaker Model Registry cross-account model promotion versioning immutability and lineage tracking.
• Configure MLflow experiment tracking auto-logging of parameters metrics and artifacts.
• Set up identity and access management Okta SSO SailPoint entitlements persona-based execution roles service roles for pipelines.
• Build model serving real-time SageMaker endpoints and batch prediction workflows.
• Set up model monitoring data drift model drift performance degradation detection.
• Configure data catalog searchable datasets access-level visibility access-request workflows lineage.
• Own platform operations observability (CloudWatch Datadog) logging custom images instance availability.

• 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.
  

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.