An end-to-end data science project may require a multidisciplinary team made of data scientists, engineers, and developers. The emerging role of MLOps allows data scientists to create and manage ML pipelines at scale easily without the need for a team of data engineers. In this session, I will discuss discuss the architecture of an NLP tool deployed in the Google Cloud environment by using fully managed services.