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cover of episode 899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community, with Kirill Eremenko

899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community, with Kirill Eremenko

2025/6/24
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn
AI Deep Dive AI Chapters Transcript
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Jon Krohn
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Kirill Eremenko
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Kirill Eremenko: 我发现学习机器学习、人工智能和数据科学既令人畏惧又令人兴奋，但同时也可能让人感到孤独。很多人加入Super Data Science平台是因为他们想成为学习者社区的一份子，他们希望能够与他人建立联系，共同进步，克服学习过程中的挑战。这种社区的归属感对于学习者来说至关重要，它可以提供支持、鼓励和共同成长的机会，从而减轻学习的孤独感。

Deep Dive

Chapters
This chapter presents five success stories from SuperDataScience community members who have successfully transitioned into AI engineering roles or advanced their careers in data science. Their experiences highlight the importance of community, practical projects, and fundamental knowledge in securing high-paying jobs.
  • Successful transition into AI engineering roles
  • Importance of community and practical projects
  • Employers still test AI engineers on basic machine learning fundamentals

Shownotes Transcript

Data science skills, a data science bootcamp, and why Python and SQL still reign supreme: In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other candidates in landing a top AI role.

Additional materials: ⁠⁠⁠⁠www.superdatascience.com/899)⁠⁠⁠

This episode is brought to you by ⁠__Adverity, the conversational analytics platform__⁠) and by the ⁠__Dell AI Factory with NVIDIA__⁠).

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

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(04:35) Stories from five SuperDataScience subscribers

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(27:32) How to secure a career in a fast-paced industry

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(44:19) How to stand out against huge competition in data science

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(1:01:40) The importance of communication in data science

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(1:16:41) Where to focus your skills in AI engineering