Professional, Analytics Engineering

This role focuses on productionizing machine learning models by designing, developing, and deploying software components as microservices and data pipelines to serve high-load environments. The position involves collaborating with data scientists to monitor model performance, optimize features, and maintain an in-house platform for managing and automating models. Key responsibilities include building data pipelines, ingesting data from various sources, and integrating models into multiple destinations.