Oct. 4, 2022, 7:15 a.m. | Mathieu Lemay

Towards Data Science - Medium towardsdatascience.com

An assessment of the real-world constraints of cloud migrations

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Let’s imagine Company A. Company A is a typical mid-tier industry leader. They already have a data science team, a very successful ML deployment, and a strong data infrastructure.

Additionally, compared to their competitors, they already have some experts in both Cloud and data engineering. They even have their leadership team committing to a “Cloud-first” strategy but have nicely provided the teams with flexibility …

artificial intelligence business business strategy machine learning mlops notes-from-industry

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

Senior AI & Data Engineer

@ Bertelsmann | Kuala Lumpur, 14, MY, 50400

Analytics Engineer

@ Reverse Tech | Philippines - Remote