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AI Engineering and Development

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Manage episode 483737654 series 3605659
Content provided by Kabir. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kabir or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Artificial Intelligence (AI) engineering is a rapidly growing field that combines principles of software engineering, data science, and machine learning to design, develop, and deploy AI systems. AI engineers need both technical skills—such as programming, data processing, and algorithmic understanding—and soft skills like communication and problem-solving. While it's a challenging profession, it offers vast opportunities across industries and enables engineers to make a significant impact on daily life through AI-powered solutions.

The responsibilities of AI engineers span the entire AI system lifecycle, including data acquisition and preparation, model design and training, system integration, deployment, and monitoring. Generative AI tools, such as code generation and automated testing, enhance productivity and help automate repetitive tasks. However, ethical considerations like bias, security, and accountability remain critical in AI development and demand increased attention.

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Podcast:
https://kabir.buzzsprout.com
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275 episodes

Artwork
iconShare
 
Manage episode 483737654 series 3605659
Content provided by Kabir. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kabir or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Artificial Intelligence (AI) engineering is a rapidly growing field that combines principles of software engineering, data science, and machine learning to design, develop, and deploy AI systems. AI engineers need both technical skills—such as programming, data processing, and algorithmic understanding—and soft skills like communication and problem-solving. While it's a challenging profession, it offers vast opportunities across industries and enables engineers to make a significant impact on daily life through AI-powered solutions.

The responsibilities of AI engineers span the entire AI system lifecycle, including data acquisition and preparation, model design and training, system integration, deployment, and monitoring. Generative AI tools, such as code generation and automated testing, enhance productivity and help automate repetitive tasks. However, ethical considerations like bias, security, and accountability remain critical in AI development and demand increased attention.

Send us a text

Support the show

Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.

  continue reading

275 episodes

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