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Cloud engineer

As explained in Delivering Machine Learning Projects: From design to deployment

A cloud engineer specializes in configuring and managing cloud infrastructure and cloud-managed services.

A cloud engineer sets up and manages cloud infrastructure for an ML project. The role covers private networks and identity and access management (IAM) configurations, and may include cloud-managed services such as data warehouses. section 3.2.2

Plan for this expertise when assigning team responsibilities. A cloud engineer can support data scientists if a data engineer is unavailable. Roles need not map one-to-one to people: one person may cover several roles, or several people may share a role. section 3.2.2

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Defines the role through responsibilities and representative services, without detailing configuration procedures.
Examples
Names private networks, IAM configurations, and cloud-managed data warehouses as work a cloud engineer may handle.
What you can do after
Evaluate/understand when to assign cloud infrastructure and managed-service responsibilities to a cloud engineer.
How it connects
Connects cloud engineering to data science, data engineering, and team-role allocation in ML projects.
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.