Job Description & How to Apply Below
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.
Job Description
We’re seeking a Lead Machine Learning Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship.
What will you do?
Lead by Doing:
Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands‑on role with end‑to‑end ownership, with significant time doing coding.
Set Technical Direction:
Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross‑Functionally:
Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
Deliver at Scale:
Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
What do you need to succeed?
Must Have:
10+ years of experience in designing and building data-intensive applications with deep understanding of distributed systems
3+ years in engineering leadership role
Deep expertise in modern data and ML engineering tools and languages (e.g., Python, Java/Scala, Spark, Pyspark, Kafka, SQL, Airflow).
Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
Excellent communication skills—able to clearly explain complex technical concepts to both technical and non‑technical audiences.
Bachelor’s degree in computer science, Engineering, or a related field;
Master’s or PhD preferred.
Nice to Have:
Hands‑on experience with Snowflake, AWS Sage Maker, LLM deployments
Background in enterprise‑level data governance, privacy, and security practices.
What’s in it for you?
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
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.
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building
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:
Final date to receive applications:
Note
Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications 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…
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