Lorven Technologies Inc.

Data Lake/Sagemaker Admin

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Lake/Sagemaker Admin in Chicago, IL, on a contract basis. Key skills include AWS SageMaker, IAM, data governance, and monitoring. Experience in platform administration and security compliance is required. Pay rate is unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
March 11, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#AWS SageMaker #Datasets #Deployment #S3 (Amazon Simple Storage Service) #Cloud #IAM (Identity and Access Management) #Monitoring #Batch #AWS (Amazon Web Services) #VPC (Virtual Private Cloud) #ECR (Elastic Container Registery) #SageMaker #Security #"ETL (Extract #Transform #Load)" #Data Lake #Data Governance #Data Science #Model Deployment #Logging #Containers #ML (Machine Learning) #Compliance
Role description
Position: Data Lake/Sagemaker Admin Location: Chicago, IL Job Mode: Contract Job Description: β€’ We are looking for a skilled AWS SageMaker Administrator to oversee operate secure and optimize our enterprise SageMaker environment β€’ 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 β€’ This is not a model building role it’s a platform and operations role responsible for keeping SageMaker running smoothly at scale β€’ SageMaker Platform Administration β€’ Manage and configure SageMaker Studio Domains and User Profiles β€’ Maintain and monitor SageMaker Notebooks JumpStart Feature Store Pipelines and Endpoints β€’ Configure Lifecycle Configurations for reproducible environments β€’ Ensure proper versioning and management of custom images kernels and ECR containers β€’ Operational Support Monitoring β€’ Monitor training jobs endpoints processing jobs batch transforms and cost usage β€’ Troubleshoot environment issues including IAM permissions Studio startup failures kernel problems and model deployment errors β€’ Implement logging and monitoring using Cloud Watch Cloud Trail and SageMaker Model Monitor β€’ Security Compliance β€’ Administer IAM roles policies KMS keys VPC configurations and private network access β€’ Enforce data governance including fine-grained access to S3 buckets and datasets β€’ Ensure compliance with organizational security frameworks eg. least privilege zero trust encryption intransitatrest.