Elevate your career at RBC Borealis as a Principal MLOps Engineer with a focus on Azure. Leverage your skills in designing ML infrastructure and automation tools to evolve enterprise capabilities. At RBC Borealis, you will collaborate with top experts in the machine learning domain, utilizing extensive datasets and advanced computational resources.

Your work will involve crafting, optimizing, and implementing ML deployment tools while designing cloud infrastructure using best practices. The position emphasizes automation of ML applications and setting standards for data pipelines. Key Responsibilities:
Create and optimize machine learning deployment frameworks
Design cloud infrastructure using Terraform on Azure




Establish best practices for machine learning workflows
Work with engineers on automating MLOps tasks
Monitor applications and infrastructure design choices Requirements:
Solid experience in machine learning and distributed architectures
Hands-on experience with Azure and AWS settings
Robust skills in Python, Bash, or JavaScript
Familiar with tools like AirFlow and Dagster
Background in machine learning frameworks like PyTorch Drive innovation and excellence in ML operations at RBC Borealis, engaging with leading-edge technologies.

📌 Senior Mlops Engineer Azure Opportunities Toronto
🏢 RBC
📍 Toronto