Lunch Chat: Demystifying the AI Journey

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This is a talk from a deep learning scientist at NVIDIA about her personal journey from studying engineering to working in the Artificial Intelligence (AI) field.

With the recent boom in the field of Artificial Intelligence and Machine learning, opportunities in this domain have become competitive and the interview process has become mystified. Students often find it hard to understand the skill-sets required for ML/ AI roles. This makes their job search process tedious and introduces a potential disconnect in expectations from the industry and the interview prep for students.

In this talk, Subhashree Radhakrishnan will walk us through her journey in the field of AI and help demystify some of the technical know-how pertaining to AI roles. She will give a technical overview of the work at NVIDIA and the steps involved in productionizing AI models. She will provide students with a roadmap on how to hone their skills, land interviews, excel in them, and succeed in the role.

Resources provided will include advice on networking, technical information on current ongoing projects in the industry, and specific expectations from candidates during interviews. She will also provide pointers and links to resources that will help bolster their technical skills in AI.

Finally, she will help answer some of the commonly raised questions regarding different roles within a Machine Learning team, responsibilities in different roles, and making a career switch into AI.

This is a talk from a deep learning scientist at NVIDIA about her personal journey from studying engineering to working in the Artificial Intelligence (AI) field.

Speakers in this video

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