Lead Machine Learning Engineer

Faculty is hiring a Lead Machine Learning Engineer for its Public Services Business Unit. The role sets technical direction and leads delivery of scalable, production-grade AI/ML platforms for government clients, while guiding teams and defining roadmaps across complex projects.

Responsibilities:

• Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments
• Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines
• Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications
• Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments
• Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement
• Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery
• Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position