ModelOps Engineer

A ModelOps Engineer is a cross-functional expert who designs, implements, and manages the end-to-end machine learning lifecycle (MLC) across an enterprise. Acting as the hands-on integrator between data science, IT, and business units, the ModelOps Engineer standardizes model deployment, monitoring, and governance processes while maintaining flexibility for different modeling tools and use cases. This role also drives process automation, aligns technical standards with business objectives, mitigates risks like Shadow AI, and ensures AI systems perform consistently under defined SLAs. ModelOps Engineers play a vital role in scaling enterprise AI responsibly, with clear KPIs, transparent reporting, and minimal friction across teams.