Job Description
Step into a Senior MLOps Engineer role at SAP, focusing on building and maintaining scalable ML platforms. This position requires a rich background in MLOps to ensure optimized, high-availability systems.
At SAP, you will be a key player in enhancing cloud-native production environments, working collaboratively to solve complex ML issues. Your mission will involve managing automated pipelines for continuous retraining, monitoring system performance, and applying best practices in MLOps. This is a critical role as SAP pushes the boundaries of AI innovation.
Key Responsibilities:
• Optimize ML platforms for scalability
• Troubleshoot and resolve system discrepancies
• Manage automated model training and deployment
• Collaborate for continuous system improvement
• Enforce compliance with MLOps standards
Requirements:
• Minimum 5 years MLOps experience in production
• Proficiency in cloud-based ML platforms
At SAP, you will be a key player in enhancing cloud-native production environments, working collaboratively to solve complex ML issues. Your mission will involve managing automated pipelines for continuous retraining, monitoring system performance, and applying best practices in MLOps. This is a critical role as SAP pushes the boundaries of AI innovation.
Key Responsibilities:
• Optimize ML platforms for scalability
• Troubleshoot and resolve system discrepancies
• Manage automated model training and deployment
• Collaborate for continuous system improvement
• Enforce compliance with MLOps standards
Requirements:
• Minimum 5 years MLOps experience in production
• Proficiency in cloud-based ML platforms