Staff Machine Learning Engineer at RBC Borealis

Elevate your career as a Staff Machine Learning Engineer at RBC Borealis, focusing on innovative AI-driven financial solutions. This pivotal role involves developing scalable infrastructure for machine learning systems from inception to production.
As a key member of the team, you'll create backend services in Python and manage real-time data pipelines. You'll also deploy ML models effectively using platforms like OpenShift and Kubernetes, while delivering exceptional performance in AI workloads.
Key Responsibilities:
• Build scalable infrastructure for ML model serving
• Architect real-time feature pipelines using streaming tech
• Create reliable backend services in Python for AI
• Deploy ML models in containers on OpenShift/Kubernetes
• Develop CI/CD pipelines integrating testing and quality gates
Requirements:
• Extensive experience with SageMaker and MLflow
• Advanced Python programming skills for backend systems
• Deep understanding of Kafka for on...