AI Solutions Architect - ML Models
Job Description & How to Apply Below
Join RBC as an AI Solutions Architect focusing on Machine Learning Models. Build and deploy innovative solutions that redefine commercial banking experiences.
In this role, you will lead the design and deployment of advanced ML systems in commercial banking. Collaborate with a talented team to create reliable and maintainable ML models, addressing complex banking problems through AI. Your efforts will ensure that RBC remains a leader in embedding data-driven decision-making into financial services.
Key Responsibilities:
• Design ML models for AI applications in banking
• Work with stakeholders to identify and solve ML-related challenges
• Collaborate on building fail-proof ML pipelines and infrastructure
• Ensure compliance with RBC’s governance and risk standards
• Assess and adopt emerging AI/ML tools for improved efficiency
Requirements:
• Minimum 5 years of ML model deployment experience
• Proficient in Python and key ML frameworks
• Experience in MLOps and large data solutions
• Strong knowledge of model evaluation and statistics
• Excellent communication skills to relay model insights
Be part of RBC’s mission to integrate AI into the banking system meaningfully and effectively.
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