Director AI/ML MLOps Platform Engineering

Architect AI/ML and MLOps platforms at RBC in Vancouver, using Python, Spark, and cloud architecture to shape credit decisioning systems. Lead hands-on engineering with 20–30% coding and technical direction. As Director & Principal Engineer, you will build scalable data pipelines, analytics platforms, and machine learning systems. You will guide platform capabilities supporting retail credit decisioning and risk management. The role combines architecture, engineering leadership, team management, and mentorship across technical and business partners. Key Responsibilities:

Design and review scalable data pipelines and machine learning systems Define data and ML engineering standards and technology adoption Translate partner needs into technical platform solutions Coach engineers and develop high-performing technical teams Enforce delivery quality, data governance, and security compliance Requirements:

8+ years designing and building data-intensive applications 3+ years in senior technical leadership roles Expertise in Python, Java or Scala, Spark, Kafka, and SQL Experience with MLOps, deployment, monitoring, CI/CD, and real-time inference Bachelor’s degree in Computer Science, Engineering, or related field Apply your AI/ML architecture, MLOps, cloud, and leadership expertise to RBC’s next-generation credit platforms in Vancouver.

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