Become an MLOps Engineer with Autodesk, leveraging your expertise in deploying machine learning models and ensuring operational efficiency on our AI/ML Platform. Collaborate with diverse teams to enhance platform performance and capabilities.

Join Autodesk's AI/ML Platform team in this pivotal role focused on operationalizing machine learning models. You’ll implement MLOps practices, automate deployments, and collaborate on scalable infrastructures for AI/ML solutions. This position demands proficiency in tools like Docker and Terraform while contributing to model governance and platform security.

Key Responsibilities:
• Drive operational excellence of the AI/ML Platform
• Automate deployment pipelines for machine learning models




• Design scalable infrastructure for model training and inference
• Develop robust monitoring and logging systems
• Collaborate with data engineers for efficient data pipelines

Requirements:
• BS or MS in Computer Science or related field
• 3+ years in MLOps with deployment experience
• Proficient in Infrastructure as Code tools
• Robust expertise in Docker and Kubernetes
• Excellent collaboration skills with cross-functional teams

Harness your skills to optimize machine learning solutions and make a meaningful impact at Autodesk.
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📌 MLOps Engineer at Autodesk (Ontario)
🏢 Autodesk
📍 Ontario