Manager, MLOps Engineering - Remote

Overview

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage.

In Short

• Lead the MLOps team within Data Science.
• Build production features leveraging machine learning and generative AI technologies.
• Develop infrastructure for rapid machine learning prototyping and continuous deployment.
• Support platform for custom trained customer AI models.
• Participate in large-scale project planning and stakeholder education.
• Mentor junior team members.
• Communicate with developers, product managers, and UX designers.
• Experience with cloud infrastructure, preferably AWS and Sagemaker.
• Experience with modern containerization tools such as Docker and Kubernetes.
• Other duties as assigned.

Requirements

• 5 or more years of experience with MLOps or Machine Learning Engineering.
• Experience leading major projects.
• Experience deploying machine learning models in production.
• Programming with Python and associated data science/machine learning stack.
• Experience with deep learning and generative AI models.
• Experience with cloud infrastructure, preferably AWS and Sagemaker.
• Experience with modern containerization tools such as Docker and Kubernetes.

Benefits

• Support for healthy work/life balance.
• Floating holidays.
• Quarterly wellness day.
• Employee Resource Groups (ERGs).