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Lead AI Quality Engineer
Job Description & How to Apply Below
Step into a pivotal role as a Lead Data and AI Quality Engineer with RBC’s Risk and Compliance team. Drive quality assurance initiatives for AI and Non-Financial Risk Reporting to ensure compliance and excellence in solutions.
As a Lead Quality Engineer, you will strategically plan tests while leveraging both automation and manual testing skills. Your expertise will guide compliance in regulatory environments, ensuring that all products meet rigorous quality assurance standards and functionality requirements. Collaborate with stakeholders and transform outlined specifications into actionable testing strategies.
Key Responsibilities:
• Design comprehensive test strategies for AI risk solutions
• Define test scopes, acceptance criteria, and quality gates
• Develop application programs for quality assurance testing
• Conduct performance validations across compliance workflows
• Create automated test frameworks using Python
Requirements:
• 5+ years Python development experience
• Strong software development background
• Experience with AI model testing
• Knowledge of various database systems
• Proven expertise in Dev Ops and CI/CD
Explore your potential while ensuring regulatory compliance in AI solutions at RBC.
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