This is how Data Science / Machine Learning Team should work: | Artificial Intelligence

This is how Data Science / Machine Learning Team should work:

Inception of an idea (Business + data scientists).

Collaborate to work closely with the data engineering team to get appropriate data.

Exploratory analysis in notebooks.

First models and experimentations in notebooks.

Convert notebooks to scripts and modules.

Write tests.

Make experiments reproducible.

Create APIs to serve your model (if required).

Take care of all optimisations.

Dockerize everything (this can also be done in the beginning).

Make sure everything (including training) works end-to-end without any human interference.

Collaborate with the engineering/ops team to deploy it.

Feedback loop.