Join RBC as an MLOps Specialist and enhance financial risk modeling with cutting-edge ML solutions. Focus on cloud infrastructure and lifecycle management for optimized performance.

In this full-time role, you will design MLOps pipelines supporting ML training and deployment on AWS. Your collaboration with data scientists and DevOps will foster a comprehensive approach to model management, ensuring security and scalability. The role is perfect for those who thrive in a dynamic, innovative setting.

Key Responsibilities:
• Design and implement MLOps pipelines for scalable ML
• Automate model management workflows for efficiency
• Develop model registries for effective tracking
• Orchestrate workflows using tools like Airflow
• Ensure CI/CD practices for seamless integration

Requirements:
• Bachelor’s degree in a related field
• 3+ years in software or data engineering
• 1+ year of AWS experience
• Skilled in Python, PySpark, and Linux systems
• Familiar with model lifecycle management

Contribute your expertise to RBC's machine learning initiatives and support transformative financial solutions in Vancouver.
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📌 MLOps Specialist in Financial Risk at RBC (British Columbia)
🏢 Socket.dev
📍 British Columbia