Staff Machine Learning Engineer at RBC

Join RBC Borealis as a Staff Machine Learning Engineer in Calgary. Lead the charge in developing robust ML systems, emphasizing performance and reliability in production. In this influential position, you will take ownership of the entire lifecycle of machine learning models at RBC's advanced AI platform. Your technical acumen in backend development and infrastructure management will enhance the operational scalability of key AI workloads while collaborating with top-notch researchers in the field. Key Responsibilities:

• Design and maintain ML services with SageMaker or MLflow
• Develop real-time data pipelines using Kafka for ML workflows
• Create backend APIs in Python exposing ML functionalities
• Handle deployments of containerized workloads using Kubernetes
• Implement CI/CD pipelines ensuring continuous quality validation

• Strong background in ML lifecycle management and deployment strategies
• Proficient in Python for developing reliable backend services
• Deep familiarity with event-driven architectures using Kafka
• In-depth experience with OpenShift/Kubernetes for operational tasks
• Expertise in observability frameworks like Datadog and Prometheus