MLOps Platform Engineering Expert is a MLOps Engineer role (full-time). with SAP. in VANCOUVER, CA. Compensation shown: $106K–$235K (est.). Imported listing (source: ca.linkedin.com). Apply on the employer's site (ca.linkedin.com).
Imported listing (source: ca.linkedin.com) · Apply on ca.linkedin.com
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ca.linkedin.com
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.
SAP is a global leader in enterprise software, providing integrated business applications and business AI solutions. Their software helps organizations manage core operations including finance, HR, supply chain, procurement, and customer experience.
