Senior Cloud MLOps Engineer - Risk ML Pipelines

Royal Bank of Canada; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Canada is seeking a highly skilled MLOps Engineer to design and build production-grade machine learning pipelines. The role requires expertise in AWS services and a strong command of Python and PySpark. Ideal candidates should have a solid understanding of the machine learning model lifecycle and experience in delivering automated solutions. This opportunity offers a dynamic work environment and competitive benefits.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

World-class training program in financial services

Qualifications

• 5+ years of experience in software engineering, data engineering, or MLOps in enterprise-scale environments.
• Hands-on expertise with AWS data and ML services.
• Solid understanding of model lifecycle management.

Responsibilities

• Design and implement end-to-end MLOps pipelines.
• Build and automate model lifecycle management workflows.
• Ensure strong observability through metrics and logs.

Skills

AWS data and ML services

Versioning systems

CI / CD practices

Hybrid deployment environments

Python scripting

PySpark

Education

Bachelor’s or master’s degree in computer science, engineering, data science, or related field

Tools

MLflow

SageMaker

Docker

Terraform

Jenkins

Airflow

Job description

A leading financial institution in Canada is seeking a highly skilled MLOps Engineer to design and build production-grade machine learning pipelines. The role requires expertise in AWS services and a strong command of Python and PySpark. Ideal candidates should have a solid understanding of the machine learning model lifecycle and experience in delivering automated solutions. This opportunity offers a dynamic work environment and competitive benefits.