Machine Learning Ops Engineer, GFT

💰 ₹18,000 - ₹28,800 (Est.) 📍 Toronto 🕐 5 days ago

Job Description

Job details
Job type
Full-time
Shift and schedule
On call
 
Location
Toronto, ON M+W 0A4
 
Full job description
Job Summary

Job Description

What is the opportunity?

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

As the ML Ops Engineer, you will be responsible for deploying, monitoring and troubleshooting ML models in production, requiring skills in CI/CD, cloud platforms and will be working closely with the development team and business partners to deliver medium to high complexity initiatives aligned with EDA and GFT strategic objectives.

What will you do?

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.

What do you need to succeed?

Must have:

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.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

#LI-Post

#TechPJ

Job Skills

Agile Methodology, Group Problem Solving, IT Systems Integration, Organizational Leadership, Product Services, Software Development Life Cycle (SDLC), System Applications, System Integration Testing (SIT), Systems Software
Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City:

TORONTO
Country:

Canada
Work hours/week:

37.5
Employment Type:

Full time
Platform:

TECHNOLOGY AND OPERATIONS
Job Type:

Regular
Pay Type:

Salaried
Posted Date:

2026-06-27
Application Deadline:

2026-07-18
Note: Applications will be accepted until 11:5+ PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

 
You must create an Indeed account before continuing to the company website to apply

💡 Quick Summary

Seeking a career-building opportunity? The Machine Learning Ops Engineer, GFT position is now open for candidates interested in the Bank Jobs sector. This role in Toronto offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.

Sponsored

Job Details

Company Name: Royal Bank of Canada

Frequently Asked Questions

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The expected salary for Machine Learning Ops Engineer, GFT in Toronto is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Machine Learning Ops Engineer, GFT is an on-site position based in Toronto. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Machine Learning Ops Engineer, GFT. Previous experience in Bank Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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