Role Name: Data Lake/Sagemaker Admin
Location: Chicago, IL (Onsite)
Duration:12 Months
Job ID: CGEMJP00333420
JOB DESCRIPTION:
We are looking for a skilled AWS SageMaker Administrator to oversee, operate, secure, and optimize our enterprise SageMaker environment. This role focuses on platform administration, ensuring data scientists and ML engineers can develop and deploy ML workloads efficiently while maintaining strong governance, cost control, and security.
This is not a model‑building role—it's a platform and operations role responsible for keeping SageMaker running smoothly at scale.
SageMaker Platform Administration
Manage and configure SageMaker Studio, Studio Domains, and User Profiles.
Maintain and monitor SageMaker Notebooks, JumpStart, Feature Store, Pipelines, and Endpoints.
Configure Lifecycle Configurations for reproducible environments.
Ensure proper versioning and management of custom images, kernels, and ECR containers.
Operational Support & Monitoring
Monitor training jobs, endpoints, processing jobs, batch transforms, and cost usage.
Troubleshoot environment issues, including IAM permissions, Studio startup failures, kernel problems, and model deployment errors.
Implement logging and monitoring using CloudWatch, CloudTrail, and SageMaker Model Monitor.
Security & Compliance
Administer IAM roles, policies, KMS keys, VPC configurations, and private network access.
Enforce data governance—including fine‑grained access to S3 buckets and datasets.
Ensure compliance with organizational security frameworks (e.g., least privilege, zero trust, encryption‑in‑transit/at‑rest).
Best Regards,
Chetna
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