Sagemaker DevOps Engineer
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Job Description
Sagemaker DevOps Engineer optimizing enterprise Machine Learning environments. Building automation for SageMaker, CI/CD pipelines, and MLOps deployments.
Responsibilities:
- Build DevOps automations to setup Sagemaker Unified Studio for enterprise
- Implement Sagemaker Lifecycle configurations
- Create CICD pipelines for end-users to deploy custom Docker images & Kernels in Sagemaker
- Build alert & monitoring capabilities for Sagemaker projects to control costs and service quotas
- MLOps automations for model and infrastructure deployments to higher environments
Requirements:
- From 6+ years of experience in a relevant role
- Expert level in AWS and Python
- Working knowledge with Sagemaker
- Experience building DevOps automations for enterprise
- Preferred to have experience building Jenkins pipelines
- Preferred to have experience with MLOps automations

Xenon Seven
Software DevelopmentHuman Experts Implementing Artificial Intelligence #AI #ArtificialIntelligence #HumanIntelligence
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