MLOps Engineer II

Quillbot is seeking an MLOps Engineer to manage the infrastructure for their machine learning models, ensuring reliability and performance as usage grows. This role involves collaborating with data scientists and engineers to deploy and monitor ML systems, troubleshoot infrastructure issues, and optimize existing models. You will play a key part in shaping on-premises MLOps practices and improving the ML engineering stack.

• Manage ML model infrastructure for reliability and performance
• Collaborate with data scientists and software engineers
• Troubleshoot ML infrastructure from Linux to ML stack
• Design and develop on-premises MLOps solutions
• Optimize existing models for performance and throughput
• Build and maintain tools for deployment, monitoring, and operations