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 pipelines

Requirements: • BS or MS in Computer Science or related field • 3+ years in MLOps with deployment experience • Proficient in Infrastructure as Code tools • Strong 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. #J-18808-Ljbffr

📌 MLOps Engineer at Autodesk (Winnipeg)
🏢 Autodesk
📍 Winnipeg