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Description

Royal Bank of Canada (RBC) is seeking an experienced Machine Learning Platform Engineer to design, implement, and optimize machine learning infrastructure and automation tools (MLOps and DevOps). This role involves working with the RBC Borealis team, focusing on bringing ML to enterprise by collaborating with leading researchers and utilizing rich datasets and computational resources for various machine learning areas such as reinforcement learning, unsupervised learning, and computer vision.

What We're Looking For

Design, build, and optimize machine learning deployment tools and automation systems that operate the business's data and ML applications.,Design and implement best practices and standards for data and machine learning pipelines across the organization.,Collaborate with engineers and machine learning researchers to automate code analysis, build, integration, and deployment of ML applications.,Support applications and projects with infrastructure design decisions and monitoring solutions.,Build highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies.

Ideal Candidate

5+ years of experience designing and implementing distributed systems and Machine Learning systems.,Working experience with building and maintaining DevOps pipelines such as Jenkins, GitHub actions.,Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow.,In-depth knowledge of various stages of the machine learning application deployment process.,Experience with building tools and applications to automate various infrastructure and DevOps tasks.,Proficiency with programming languages such as Python, Bash, or JavaScript.,Solid understanding of the UNIX operating system.,Experience implementing monitoring solutions to identify system bottlenecks and production issues.,Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.,Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure.,Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or similar.

Hard Skills

Apache Airflow
Apache Spark
Application Development
Application Maintenance
Applications Architecture
Applications Programming
Cloud Computing
Code Development
Jupyter Notebooks
Python (Programming Language)
Red Hat OpenShift
Software Development Life Cycle (SDLC) Methodologies
Technical Design Documentation
Unit Testing
Distributed Systems
Machine Learning Systems
DevOps Pipelines (Jenkins
GitHub Actions)
MLOps Orchestration (AirFlow
KubeFlow
Dagster
Flyte
MetaFlow)
UNIX Operating System
AWS
Azure
PyTorch
TensorFlow
Bash
JavaScript

Soft Skills

Detail-Oriented
Group Problem Solving

Work Hours

37.5 hours/week

Benefits

Comprehensive Total Rewards Program (including bonuses and flexible benefits
competitive compensation
commissions
and stock options where applicable)
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact from a local-to-global scale.

Also Available At

About the Company

R

Royal Bank of Canada

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.

Purpose-driven
Inclusive
Innovative
Collaborative
Professional
View all jobs at Royal Bank of Canada

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