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, creative environment.

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. #J-18808-Ljbffr

📌 MLOps Specialist in Financial Risk at RBC (Winnipeg)
🏢 Socket.dev
📍 Winnipeg