Become a pivotal Staff ML Engineer at RBC Borealis, steering the development of machine learning systems from idea to production. You'll focus on building scalable infrastructure that supports AI-driven financial solutions.
This position specifically entails developing backend services in Python, managing real-time data pipelines, and deploying ML models efficiently. Engage with a highly talented team and utilize platforms like SageMaker to deliver performance excellence in AI workloads.
Key Responsibilities:
• Build scalable infrastructure for ML model-serving
• Architect real-time feature pipelines with 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 ML pr...