MLOps Engineer

This role focuses on designing, implementing, and managing MLOps workflows and tools for ML and GenAI solutions to ensure stability, reliability, and performance. The position involves overseeing the entire model lifecycle, including registry, versioning, deployment tracking, and governance, while implementing monitoring for data drift and model performance. Additionally, the role requires developing incident handling procedures and supporting data quality and lineage tracking practices.