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 effective data pipelinesRequirements:
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 teamsHarness your skills to optimize machine learning solutions and make a meaningful impact at Autodesk.#J-18808-Ljbffr

📌 Mlops Engineer At Autodesk Toronto
🏢 Autodesk
📍 Toronto