Elevate your career at RBC as a Senior Machine Learning Engineer, focusing on building and automating MLOps pipelines. Work in a team-oriented environment driving financial model innovations.

This senior role requires a blend of Python programming, cloud engineering, and machine learning expertise. You will be instrumental in designing a production-grade ML platform that enhances risk management. Collaborating with various teams, you'll ensure the implementation of secure, robust solutions in both AWS and on-premises infrastructures.

Key Responsibilities:
• Create reusable MLOps pipelines for training and deployment
• Automate workflows for model versioning and approval
• Establish model registries for tracking and reproducibility
• Manage data and training orchestration tools
• Develop CI/CD processes for model deployments

Requirements:
• Bachelor’s degree in a technical field
• Minimum 3 years of MLOps experience
• At least 1 year of AWS experience
• Proficient in Python and environment management
• Knowledge of CI/CD practices and tools

Make a lasting impact on financial risk management solutions at RBC in Vancouver.
#J-18808-Ljbffr

📌 Senior Machine Learning Engineer at RBC (British Columbia)
🏢 Socket.dev
📍 British Columbia