Understanding the AI Engineer Role
In this conversation, we explore the role through the career path of Nasser Qadri, AI Engineer at Google.
Nasser has an unusual path into the field. He started with a PhD in Politics and International Relations, then moved into data science roles at Gallup, Deloitte, and Quest Diagnostics, before transitioning into AI engineering.
Using his experience, we discuss how the AI engineer role appears in real projects and how people can move into it from different backgrounds.
In this conversation, we cover:
What the “AI engineer” role looks like in practice
Typical tasks and responsibilities in the role
How the role differs from ML engineer, data scientist, and software engineer
Skills that are useful for working with modern AI systems
Nasser’s transition from social science to data science and AI engineering
About the Speaker
Nasser Qadri is an AI Engineer at Google. Previously, he held data science leadership roles at Quest Diagnostics, Deloitte, and Gallup. Before moving into industry, Nasser completed a PhD in Politics and International Relations at the University of Glasgow. His background combines social science research, data science, and applied machine learning.
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