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 energetic, cutting-edge 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.
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📌 Mlops Specialist In Financial Risk At Rbc Vancouver
🏢 Socket.dev
📍 Vancouver