Team of Data Scientists able to create Models and Monitor the Service.
Data Architect and MLOps Engineers to define the Architectures and Govern the ML processes in MLOPS.
Machine Learning in Cloud Services products (AWS SageMaker, Azure Machine Learning, Google GCP AI Workbench)
Languages and Libraries: Use of Python and the most popular open-source libraries such as Pytorch, TensorFlow or Scikit-learn.
Use of Scala/Spark for distributed processes.