The Lead MLOps Engineer is responsible for integrating, deploying, monitoring, and scaling machine learning models into production. This role involves building infrastructure using cloud services and tools like AWS, Docker, and setting up CI/CD pipelines to automate model deployment, while also mentoring team members and promoting best practices in MLOps.

The Lead Data Engineer will design and manage data systems and infrastructure for analytics within the organization. Responsibilities include implementing data lake architecture, optimizing data pipelines for performance and scalability, mentoring engineers, and ensuring compliance with data governance policies. The role involves collaboration across teams to integrate machine learning and drive technical initiatives.