Job Description
Drive MLOps excellence within SAP by optimizing cloud-native platforms for seamless machine learning services. This role requires 5+ years of MLOps experience in production systems and direct collaboration with engineering teams.
At SAP, you will work with a talented DevOps group focused on building scalable ML infrastructure across multiple global locations. Your expertise in tools such as Azure ML and AWS SageMaker will be critical in managing automated continuous training and deployment pipelines. Join us to establish best practices for model versioning and experiment tracking.
Key Responsibilities: • Ensure optimal availability of production ML systems • Build and maintain scalable ML platforms and services • Monitor and resolve production issues rapidly • Implement continuous training pipelines for automation • Manage updates in core production systems
Requirements: • 5+ years experience with cloud-native MLOps • Proficient in communication (English) • E...
At SAP, you will work with a talented DevOps group focused on building scalable ML infrastructure across multiple global locations. Your expertise in tools such as Azure ML and AWS SageMaker will be critical in managing automated continuous training and deployment pipelines. Join us to establish best practices for model versioning and experiment tracking.
Key Responsibilities: • Ensure optimal availability of production ML systems • Build and maintain scalable ML platforms and services • Monitor and resolve production issues rapidly • Implement continuous training pipelines for automation • Manage updates in core production systems
Requirements: • 5+ years experience with cloud-native MLOps • Proficient in communication (English) • E...
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