Drive AI innovations at RBC Borealis as a Machine Learning Software Engineer II in Toronto. Join a agile team dedicated to advanced AI solutions in financial services.
As part of our efforts at RBC, you will work on impactful projects with substantial datasets and cutting-edge technologies. Your role involves overseeing complete project lifecycles, from data exploration to building and scaling machine learning algorithms. Collaborate with top researchers and engineers to develop and deliver robust machine learning products and solutions tailored for the financial sector.
Key Responsibilities:
• Build and scale ML solutions from development to deployment
• Lead a team in project planning and delivery
• Design and develop machine learning products




• Partner with research and product teams for seamless delivery
• Document processes and support technical decision-making
Requirements:
• Experience in Python or similar languages for scalable ML systems
• Proven ability to lead engineering teams through project lifecycles
• Familiarity with distributed computing and containerization
• Knowledge of software engineering best practices
• Experience in data science and deep learning frameworks is a plus
Bring your passion for AI and software engineering to transform financial services at RBC Borealis in Toronto.
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📌 Machine Learning Engineer At Rbc Borealis Toronto
🏢 RBC
📍 Toronto