Quantum Integrators

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 long-term contract. Key skills include AWS SageMaker administration, IAM, data governance, and monitoring. Experience with ML workloads and security compliance is essential. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Containers #AWS SageMaker #Compliance #S3 (Amazon Simple Storage Service) #VPC (Virtual Private Cloud) #Security #Data Science #Monitoring #Cloud #Datasets #Logging #Model Deployment #Data Governance #Batch #"ETL (Extract #Transform #Load)" #Data Lake #IAM (Identity and Access Management) #SageMaker #AWS (Amazon Web Services) #Deployment #ML (Machine Learning) #ECR (Elastic Container Registery)
Role description
Position - Data Lake Sagemaker Admin Location - Chicago, IL Duration - Long Term 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 modelbuilding roleits 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 finegrained access to S3 buckets and datasets • Ensure compliance with organizational security frameworks eg least privilege zero trust encryptionintransitatrest"