March 11, 2022, 8:15 p.m. | Dylan Valerio

Towards Data Science - Medium towardsdatascience.com

Add structure to your machine learning projects to accelerate and sustain innovation

In recent years, momentum is building towards MLOps, an effort to distill an operational mindset in machine learning. For me, MLOps is all about creating sustainability in machine learning. We want to build a culture of structure and reproducibility in this fast-paced innovative field. Take this familiar scenario as motivation:

Here’s a use case for you to complete. Can you do it before Friday?

Our intrepid hero cobbles …

kedro machine learning mlops pipeline

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Management Assistant

@ World Vision | Amman Office, Jordan

Cloud Data Engineer, Global Services Delivery, Google Cloud

@ Google | Buenos Aires, Argentina