Hybrid-Remote MLOps Engineer — Scalable AI Pipelines

Autodesk; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading design software company is seeking an MLOps Developer to optimize AI-powered applications and improve operational efficiency. The role involves collaborating with engineers on deployment pipelines and ensuring reliability for ML applications. Candidates should have 3–5 years of MLOps experience, expertise in cloud services like AWS/Azure, and familiarity with Docker and Terraform. This position offers a hybrid work model across Canada.

Qualifications

• 3–5 years of hands-on experience in MLOps / DevOps in a production environment.
• Experience with cloud platforms like AWS or Azure.
• Proficiency in Infrastructure as Code practices.

Responsibilities

• Improve operational efficiency through MLOps practices.
• Develop and maintain model inference services.
• Adapt research models to automated deployment pipelines.

Skills

MLOps / DevOps Experience

Cloud Experience

Infrastructure as Code (IaC)

Containerization

CI/CD Experience

Inference Services

Security Awareness

Tools

Docker

Kubernetes

Terraform

AWS

Azure

Flask

FastAPI

Job description

A leading design software company is seeking an MLOps Developer to optimize AI-powered applications and improve operational efficiency. The role involves collaborating with engineers on deployment pipelines and ensuring reliability for ML applications. Candidates should have 3–5 years of MLOps experience, expertise in cloud services like AWS/Azure, and familiarity with Docker and Terraform. This position offers a hybrid work model across Canada.