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About the Role
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 online M...
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 online M...
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