Director & Principal Engineer, AI/ML & MLOps Platform
Core
Architect and build scalable data pipelines, analytics platforms, and ML systems to enable advanced analytics and credit decisioning for RBC's lending and risk management.
Role type
Director & Principal Engineer, AI/ML & MLOps Platform
Builds
Next-generation credit decisioning and risk management platform
Domain
Financial Services / Machine Learning / MLOps
Deliverable
production ML models
Required skills
Distributed data processing, ML engineering, MLOps practices, Cloud architecture (AWS/Azure), Infrastructure as Code (IaC), Python, Java/Scala, PySpark/Spark, Kafka, SQL, Orchestration frameworks
Preferred skills
AWS SageMaker, Team leadership, Enterprise data governance
Technologies
Python, Java, Scala, PySpark, Spark, Kafka, SQL, Terraform, AWS, Azure, SageMaker, Glue, EMR, Lambda, Step Functions, Airflow, CloudWatch
Responsibilities
Design and build scalable data pipelines and ML systems, Define technical direction for data and ML engineering, Partner with data scientists and business leaders to translate needs into solutions, Mentor and coach engineers to foster high performance, Ensure project delivery with high quality and compliance
Seniority
Director, hands-on engineering leadership
