ML Ops Engineer - Data Lake & AI Infrastructure

The ML Ops Engineer - Data Lake & AI Infrastructure at Worldly is responsible for designing, deploying, and supporting advanced data lakehouse infrastructure and AI systems that handle both structured and unstructured data at scale. Key responsibilities include building and optimizing ML pipelines using tools such as MLflow and orchestrating workflows with Airflow, implementing data ingestion and transformation processes, and enabling real-time analytics. The role requires collaboration with various teams to create scalable MLOps solutions while managing infrastructure across multiple regions, particularly in China. Candidates should have a strong background in ML engineering and experience with open-source data tools and practices.