Principal MLOps Engineer Borealis

Position: Principal MLOps Engineer at RBC Borealis
Shape the future of machine learning with RBC Borealis as a Principal MLOps Engineer focused on Azure. Harness your expertise in developing ML infrastructure and automation tools to transform enterprise solutions.
As a key member of the RBC Borealis team, you'll collaborate with leading researchers, gaining access to vast datasets and cutting-edge technology.

Your role involves designing, building, and optimizing machine learning deployment tools and cloud infrastructure using Terraform. Additionally, you will implement best practices for data pipelines, ensuring scalability and resilience in hosting ML systems.

Key Responsibilities:

• Design and optimize machine learning deployment tools on Azure

• Build cloud infrastructure using Infrastructure as Code

• Implement best practices for ML pipelines organization-wide

• Collaborate with engineers on automating ML application deployments

• Monitor and support infrastructure design decisions
Requirements:

• Extensive experience in distributed and machine learning systems

• Hands-on with AWS and Azure hybrid environments

• Proficient in Python, Bash, or Java Script

• Familiar with MLOps orchestration tools like Air Flow

• Knowledge of machine learning frameworks like Py Torch
Contribute to a team dedicated to innovation in machine learning infrastructure at RBC Borealis.
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