Enterprise ML Platform Architect & MLOps Leader in Toronto

Enterprise ML Platform Architect & MLOps Leader in Toronto

Toronto Full-Time 137700 - 168300 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead enterprise-scale ML infrastructure and automation for data and ML applications.
  • Company: Join RBC, a leading financial institution in Toronto, known for innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with cutting-edge technology and career advancement opportunities.
  • Why this job: Shape the future of AI in banking and mentor the next generation of engineers.
  • Qualifications: Experience in ML infrastructure, automation, and strong leadership skills.

The predicted salary is between 137700 - 168300 $ per year.

RBC in Toronto is seeking a Senior Principal AI Engineer to lead enterprise-scale ML infrastructure and automation across on-prem and cloud.

You will shape tools, standards, and deployment pipelines for data and ML applications.

You will mentor engineers, collaborate with researchers, and guide infrastructure decisions leveraging GCP Vertex AI, Lang Chain, and modern MLOps stacks to scale AI across the bank.

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Enterprise ML Platform Architect & MLOps Leader in Toronto employer: RBC

RBC is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Senior Director in Toronto, you will lead a talented team in developing cutting-edge AI solutions that transform the banking experience for millions, while enjoying comprehensive benefits, professional development opportunities, and a commitment to community impact. Join us to be part of a collaborative environment that values diverse perspectives and champions your success.

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Contact Details:

RBC Recruitment Team

We think you need these skills to ace Enterprise ML Platform Architect & MLOps Leader in Toronto

Enterprise-scale ML Infrastructure
Automation
Data and ML Applications Deployment
Mentoring Engineers
Collaboration with Researchers
Infrastructure Decision-Making
GCP Vertex AI