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Machine Learning Ops Engineer, GFT

Canada's biggest bank and one of the largest in the world based on market capitalization, providing financial services globally.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Finance

Description For Machine Learning Ops Engineer, GFT

RBC's Global Functions Technology (GFT) division is seeking a Machine Learning Ops Engineer to join their innovative team. As part of Canada's largest bank, you'll work on deploying, monitoring, and troubleshooting ML models in production environments, collaborating with cross-functional teams across Risk, Finance, HR, and other departments. The role combines DevOps expertise with ML operations, requiring skills in CI/CD and cloud platforms. You'll be responsible for ensuring the smooth operation of machine learning applications, implementing automation tools, and providing critical production support. RBC offers a comprehensive benefits package, including competitive compensation, bonuses, and flexible work arrangements. The company's global presence, serving 16+ million clients across 34 countries, provides extensive opportunities for professional growth and impact. This role is perfect for a technical professional who enjoys working with cutting-edge ML technologies while contributing to a purpose-driven organization that values innovation and community impact.

Last updated 6 days ago

Responsibilities For Machine Learning Ops Engineer, GFT

  • Provide technical support for machine learning applications in production environments
  • Collaborate with the development team to understand the architecture and design of machine learning systems
  • Monitor system performance and troubleshoot issues to ensure optimal functionality
  • Implement automation tools and frameworks to improve operational efficiency
  • Develop and maintain documentation on system procedures and troubleshooting guides
  • Collaborate with cross-functional teams to ensure seamless deployment of new features and updates on cloud as well as linux systems
  • Participate in on-call rotations to provide 24/7 support for critical production systems

Requirements For Machine Learning Ops Engineer, GFT

Kubernetes
Linux
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Proven experience as a DevOps Engineer or similar role in software development and system administration
  • Experience with machine learning applications and their deployment in production environments
  • Knowledge of DevOps tools like Git, Docker, Jenkins, and Kubernetes
  • Strong problem-solving skills with an investigative mentality and a proactive approach
  • Excellent communication skills with the ability to explain complex technical concepts to a non-technical audience

Benefits For Machine Learning Ops Engineer, GFT

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Comprehensive Total Rewards Program including bonuses and flexible benefits
  • Competitive compensation
  • Stock options where applicable
  • World-class training program in financial services
  • Flexible work/life balance options
  • Career development through coaching and managing opportunities

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