Join RBC in Vancouver as a Cloud MLOps Engineer focused on high-performance machine learning applications. Collaborate with data scientists to build and optimize MLOps platforms on AWS.

This role demands expertise in Python, cloud engineering, and machine learning lifecycle management. As a key team member, you will be responsible for designing MLOps pipelines and ensuring compliance with governance standards. Expected to lead a group of engineers while implementing robust CI/CD pipelines for flawless model deployment.

Key Responsibilities: • Design and implement end-to-end MLOps pipelines • Develop model registry for metadata management • Orchestrate workflows using tools like Airflow • Implement CI/CD with GitHub Actions • Monitor model performance and compliance rigorously

Requirements: • 5+ years in software or MLOps engineering • Proven ML pipeline experience, especially in finance • Proficient in AWS services relevant to data science • Strong expertise ...