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 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