Staff Machine Learning Operations Engineer (Global Security)
Royal Bank of Canada Voir toutes les offres
- Toronto, ON
- Permanent
- Temps-plein
- Architect and maintain integration infrastructure across the GITR ecosystem that supports multiple models in production, including seamless integration with external model providers
- Deploy and operationalize AI models from development to production, designing validation frameworks to test model performance, accuracy, and reliability before and after deployment
- Manage model lifecycle—versioning, monitoring, rollback procedures, and continuous optimization based on real-world performance
- Build data integration pipelines connecting models to control data sources, assessment engines, and downstream reporting systems
- Lead deployment and operationalization sub-projects/spikes, making informed recommendations on deployment strategies, architecture approaches, and integration methods
- Collaborate closely with the Principal AI Engineer to understand model requirements and ensure seamless, production-ready implementation
- Own platform reliability and performance—monitor, troubleshoot, and optimize the AI platform to ensure consistent availability and performance
- GITR AI Champion—support training and adoption of AI into process re-designs, ensuring teams understand platform capabilities and best practices
- Strong backend development experience with: Python Flask, Fast API
- Deep expertise with: Redis, PostgreSQL with pgvector capabilities
- Container orchestration and deployment: Docker, Kubernetes, Openshift
- ML Workflow Orchestration – Apache Airflow, Kubeflow
- Model Training and Model Serving – Dagster, MLflow, or similar tool
- Cloud infrastructure and storage: AWS S3
- Experience with LLM/AI frameworks and integrations (LangGraph, Model Context Protocol/MCP)
- Prior RBC experience
- Experience with RBC IT Controls (e.g., DevOps, Cloud infrastructure)
- Experience with key IT Risk domains (e.g., Data Protection, Cyber Security, IT Change Management)
- MLOps and model serving experience (e.g., model versioning, A/B testing, monitoring)
- Experience building data integration pipelines
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Flexible work/life balance options
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business