Build reliable AI/ML operations with Autodesk as an MLOps Developer in a hybrid Toronto or Montreal role focused on Python and Kubernetes.

As part of Autodesk’s AI/ML Platform team, you will support machine learning and generative AI solutions across design, construction, manufacturing, and entertainment. The position emphasizes automated deployments, scalable infrastructure, model monitoring, data pipelines, and governance. You will collaborate with research, product engineering, data development, and software teams to support platform operations.

Key Responsibilities:

- Optimize MLOps practices across Autodesk’s AI/ML Platform
- Maintain automated model deployment pipelines for production transitions
- Build scalable infrastructure for training, inference, and data processing




- Monitor model performance, system health, and platform efficiency
- Support incident response, recovery, governance, and security practices

Requirements:

- Computer Science degree or related academic background
- At least two years of hands-on DevOps and MLOps experience
- Terraform or Ansible Infrastructure as Code experience
- Docker, Kubernetes, and machine learning workload experience
- Python or Bash scripting and CI/CD pipeline experience

Apply your MLOps, Python, Kubernetes, and automation experience to Autodesk’s AI/ML Platform in Toronto or Montreal.

📌 MLOps Developer AI/ML Platform (Montreal)
🏢 Autodesk
📍 Montreal