SAP seeks an MLOps Platform Engineering Expert to build and maintain highly available, scalable ML platforms in Vancouver. The role involves managing production systems, implementing continuous training pipelines, and establishing MLOps best practices using cloud-native tools and Kubernetes.
Responsibilities
Cooperate with developers and infrastructure teams to ensure highly available and scalable production systems.
Build and maintain highly available and scalable production systems optimizing ML platforms and services.
Manage core production systems including frequent changes and updates.
Monitor, troubleshoot, and rapidly resolve issues in production ML systems.
Implement and manage continuous training pipelines for automated model retraining and deployment.
Establish best practices for MLOps including model versioning, experiment tracking, and deployment strategies.
Provide support during off hours (nights and weekends) when necessary.
Requirements
5+ years of MLOps experience in production cloud-native environments.
Proficient verbal and written communication in English.
Proven expertise in cloud-native ML platforms (e.g., Azure ML, AWS SageMaker) to architect and manage automated continuous training and deployment pipelines.
