Lead AI/Machine Learning Engineer at Royal Bank of Canada

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, C++, Cloud Platforms, MLOps Tools, Machine Learning Development, Team Leadership, Software Development Principles, DevOps, CI/CD, Docker, Kubernetes, Data Management, Cloud Computing, Agile

Industry

Financial Services

Description

Job Description What is the opportunity? This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology professionals dedicated to deliver solutions to Insurance business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects. We are looking for an enthusiastic and skilled Lead Machine Learning Engineer to spearhead our AI initiatives, lead the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in machine learning models and algorithms, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will play a key role in shaping our ML strategy and mentoring a team of talented engineers to reach the same goal. The candidate posts deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues. Recommends technology solutions that meet sponsor / stakeholder needs. Acts as primary IT liaison with multiple interfacing applications, third party vendors, IT Executives, and/or Project Managers. Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build Cloud Data Lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience. We continuously update our tech skills and upgrade our platforms to match industry standards. What will you do? Technical Leadership: lead a team of machine learning engineers and data scientists, and provide technical guidance, mentorship, and oversight. Collaboration: partner with Agile project team members, project product managers, product owners, software engineers, and stakeholders to evaluate, review use cases, align ML initiatives with overall company goals. MLOps: design, build, and deploy scalable machine learning models and algorithms that address business needs, with a focus on performance and reliability. Oversee the setup and maintain of end-to-end machine learning pipelines to ensure integration with applications. Collaborate with data engineers to ensure efficient data collection, preparing and feature engineering pipelines. Documentation: set up standards and processes, maintain and keep up to date comprehensive documentation of application architecture, models, pipelines, and development processes. Reviews: set up coding best practices, ensure high-quality code through regular reviews and all solutions meet the RBC’s coding standards. Operations: keep software engineering practice in mind, build products that can be maintain with least incidents, maintain metrics and monitoring to meet Service and Operational Level Agreements. Emerging Technology: stay up-to-date with the latest advancements in machine learning and related emerging technologies, share knowledges with teams and apply the knowledge to improve existing systems and develop new ones. What do you need to succeed? Must Have Strong programming skills in languages such as Python, java, or C++. Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools. 3+ years of hands-on experience in machine learning development, and experience leading a team of machine learning developers or engineers. Strong understanding of software development principles, including design patterns, testing, and deployment. Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes. Past experience in data and AI/ML space would be preferred Strong understanding of application implementation requirements, including risk, privacy, and compliance. Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams Expert on the applications that we are supporting, strong problem-solving skills. Able to provide production support and to analyze complex problems, develop creative solutions. Proving ability to lead the team of engineers, provide guidance in a timeline manner, communicate clearly with business stakeholders; Nice to Have Adaptability, Critical thinking and growing mindset Management and collaboration skills, Verbal and written communication skills Team contributor and care about team members Graduate in science, mathematics, statistics or engineering 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 Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies #LI-POST #TECHPJ Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages Additional Job Details Address: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City: Mississauga Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-02-28 Application Deadline: 2026-03-31 Note: Applications will be accepted until 11:59 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

The Lead AI/Machine Learning Engineer will provide technical guidance and mentorship to a team of machine learning engineers and data scientists while leading the design, building, and deployment of scalable machine learning models addressing business needs. This role involves overseeing end-to-end ML pipelines, ensuring integration with applications, and collaborating with data engineers on data collection and feature engineering.