Lead ML Platform DevOps Engineer

ODAIA; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A financial institution is seeking an experienced Lead DevOps Engineer (ML Platform) in Toronto to design and implement machine learning infrastructure. This role involves optimizing deployment tools and automating systems, with a focus on collaboration with engineers and researchers in machine learning. Candidates should have 5+ years in DevOps, proficiency in cloud environments, and knowledge of MLOps tools. This position offers competitive compensation and the opportunity to contribute to innovative AI solutions.

Benefits

Competitive compensation

Flexible benefits

Coaching and mentoring opportunities

Qualifications

• 5+ years of experience with building and maintaining DevOps pipeline.
• Strong experience designing and implementing distributed systems.
• Hands-on experience deploying hybrid environments.

Responsibilities

• Design and optimize machine learning deployment tools.
• Implement best practices for data and machine learning pipelines.
• Collaborate with engineers to automate deployment of ML applications.

Skills

DevOps pipeline management

Machine Learning systems design

Monitoring solutions implementation

Programming in Python

Building cloud systems

Software engineering best practices

Tools

Jenkins

AirFlow

KubeFlow

AWS

Azure

Job description

A financial institution is seeking an experienced Lead DevOps Engineer (ML Platform) in Toronto to design and implement machine learning infrastructure. This role involves optimizing deployment tools and automating systems, with a focus on collaboration with engineers and researchers in machine learning. Candidates should have 5+ years in DevOps, proficiency in cloud environments, and knowledge of MLOps tools. This position offers competitive compensation and the opportunity to contribute to innovative AI solutions.