Machine Learning Engineer at RBC

Drive AI transformation in commercial banking with CMTC at RBC as a Machine Learning Engineer. Utilize your expertise in model development and deployment to create impactful ML solutions. As a pivotal member of RBC’s AI team, you will harness your machine learning skills to build and deliver production-grade models that streamline banking workflows. Your role involves collaborating with data scientists and understanding business needs to develop scalable ML solutions. You will also manage MLOps infrastructure while ensuring model compliance with governance standards. Key Responsibilities:

• Design and deploy production ML models for AI use cases
• Collaborate to translate experimental models into scalable services
• Understand banking problems, framing them as ML solutions
• Maintain MLOps infrastructure for model training and monitoring
• Integrate ML solutions with engineering and compliance teams

Requirements:

• 5+ years of ML model development experience
• Proficiency in Python and ML libraries like TensorFlow
• MLOps experience in CI/CD and model versioning
• Strong understanding of modeling and statistical fundamentals
• Ability to communicate complex outputs to stakeholders

Leverage your expertise in ML and shape the future of commercial banking with RBC in Toronto. #J-18808-Ljbffr