Kanth Mentorship Show
"Kanth Mentorship Podcast" is a podcast series hosted by Rajeev Kanth that focuses on career transition and development, particularly in Data Analytics, Data Science, Machine Learning, Data Engineering, Cloud Computing, AWS, Azure, DataBricks, SQL, Power BI, Tableau, Python Generative AI, Deep Learning, Computer Vision, LLMs, and Artificial Intelligence. The podcast covers various topics, including interview preparation, industry insights, and career path guidance, aimed at various individuals, including students, working professionals, and those re-entering the workforce.
Kanth provides personalized guidance for career transitions, discussing suitable pathways based on individual backgrounds and challenges. The focus is on the strategic enhancement of resumes and interview preparation, especially for jobs in India, the USA, the UK, Canada, and the UAE.
For more details and to listen to the podcast episodes, you can visit their pages on Apple Podcasts and Spotify.
Connect with Host: www.instagram.com/meet_kanth/
Kanth Mentorship Show
What is Major Assets of an AI Engineer
Major Assets of an AI Engineer, AI Engineers build, test, and deploy AI models as well as maintain the underlying AI infrastructure. They are problem solvers who can navigate between traditional software development and machine learning implementations.
In a nutshell, machine learning is a relatively novel approach at solving some problems in the computer science that were traditionally hard to solve such as for example, building a program that will successfully recognize handwritten text. Machine learning is founded on algorithms that parse large sets of data and learn from this data, without being programmed in the traditional sense of the word that is without relying on a series of steps but rather learning from the data that is fed into machine learning algorithms.
An AI Engineer also needs to understand both traditional and agile approach in software development life cycle including continuous integration, continuous delivery and continuous deployment (CI/CD). They also must understand various testing practices including test driven development and behavior driven development.
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