Lead Machine Learning Operations Engineer

Lead Machine Learning Operations Engineer

Job Summary:

This role is a senior-level role on the Innovation Analytics & AIteam, leading the design and implementation of enterprise-grade MLOps infrastructure to manage the end-to-end ML lifecycle with a focus on automation, scalability, and governance. This role partners with Solution Architects to align business and technical requirements with enterprise architecture, ensuring seamless integration of diverse data sources. The Lead MLOps Engineer drives the adoption of modern MLOps frameworks, utilizing tools like Databricks, MLFlow, Azure ML, and CI/CD pipelines to deliver scalable and reliable AI/ML systems. This position leads design reviews, defines standards for maintainability and performance, and acts as a key contributor to innovation by integrating emerging technologies. The Lead MLOps Engineer mentors cross-functional teams, champions best practices, and influences enterprise-w...