Skill Set and Mindset of an AI Scientist and Engineer

This talk is part of the AI Engineering Job Fair. Signing up for this event will give you access to all the talks on the agenda, including the job fair.

About the talk

Launching a successful end-to-end AI product usually involves multiple phases: data curation, core ML techniques, deployment, and continuous testing. The entire cycle needs different roles including scientists and engineers, which can be a challenging process.

In this session, Yi-Hsuan will first talk about:

  • Different engineering roles from early-stage startups to Google and how AI products are crafted
  • In-depth analysis of specific case studies, with a focus on required skill sets and mindsets.
  • Key takeaways followed by a discussion with the audience
Job Fair

About the speaker

Yi-Hsuan Tsai

Yi-Hsuan is the AI/ML Tech Lead Manager at Google. He has been a research scientist, startup leader, and engineer, where his mission is to help end-to-end AI product launch to be more productive.

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Discussion 

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