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In this video, we are going to see the exact difference between these two job roles, data scientist and AI engineer. As a data scientist, most of the time you will be getting data in the form of table from which you will be finding an insight and after finding that insight, you will be presenting that insight to a business owner or a stack holder with the help of Powerpoint presentation. The three must have skills of a data scientist are being strong in technical side which includes expertise in Python and having experience and visualization tools like Power BI and Tableau. The second important skill is having a good communication skill so that you can communicate your findings with clarity. The third important skill is having a good presentation skill so that you can present your ideas like a professional so that a stack holder could understand the insights in a clear way. As an AI engineer, you often need to deal with big data and you'll be working with image data, audio data, or video data, not text data often. And with that data, you'll be building an AI model from scratch to automate a task. The three must-have skills of an AI engineer includes expertise and Python. The second important skill of an AI engineer is having experience in working Google Cloud. If you choose a career that you are really interested in, you will never ever feel bored.

In this video, we are going to see the exact difference between these two job roles, data scientist and AI engineer. As a data scientist, most of the time you…

Ideas in this flowchart

  • Data Scientist vs AI Engineer
  • Data Scientist Role
  • Responsibilities
  • Receive data in tables
  • Find insights
  • Present insights
  • Skills Required
  • Technical expertise
  • Python
  • Visualization tools
  • Communication skills
  • Presentation skills
  • AI Engineer Role
  • Deal with big data
  • Work with image/audio/video data
  • Build AI models
  • Python expertise
  • Experience with Google Cloud
  • Career Choice
  • Interest leads to no boredom
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In this video, we are going to see the exact difference between these two job roles, data scientist and AI engineer. As a data scientist, most of the time you will be getting data in the form of table from which you will be finding an insight and after finding that insight, you will be presenting that insight to a business owner or a stack holder with the help of Powerpoint presentation. The three must have skills of a data scientist are being strong in technical side which includes expertise in Python and having experience and visualization tools like Power BI and Tableau. The second important skill is having a good communication skill so that you can communicate your findings with clarity. The third important skill is having a good presentation skill so that you can present your ideas like a professional so that a stack holder could understand the insights in a clear way. As an AI engineer, you often need to deal with big data and you'll be working with image data, audio data, or video data, not text data often. And with that data, you'll be building an AI model from scratch to automate a task. The three must-have skills of an AI engineer includes expertise and Python. The second important skill of an AI engineer is having experience in working Google Cloud. If you choose a career that you are really interested in, you will never ever feel bored.

"data scientist and AI engineer."

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