Elevate your career at RBC as a Senior Machine Learning Engineer, focusing on building and automating MLOps pipelines. Work in a cooperative 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.

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