Data Scientist at Wildberries

[rifat28dddd]

Maria Zharova,

The market is already reacting to this trend: many recruiters include the ability to work with neural networks in their candidate requirements. In addition, in recent years, more and more new vacancies for working with artificial intelligence have appeared. Here are some of the most popular:

A Prompt Engineer is a person who understands how to “talk” to AI in order to get the most accurate and useful answers from it. Their job is to formulate requests so that the AI ​​understands what exactly is wanted from it and gives the desired result. For example, a company needs an image to advertise a new product. The Prompt Engineer creates a request and describes the style, color scheme, and composition of the image, and specifies what impression it should make on the client.
An AI trainer helps train artificial intelligence models. They analyze poland telegram data the interaction of the neural network with users, correct shortcomings, and add missing data. For example, a trainer can teach a chatbot to correctly process rare requests or suggest how to respond to non-standard questions.
An AI Ethics Specialist develops rules and standards for the safe and fair use of neural networks. For example, such a specialist can check that the algorithm for selecting candidates for vacancies is not biased.
An AI Solutions Architect is a person who develops and implements AI systems into a company’s processes. Their job is to configure AI so that it effectively solves business problems and optimizes employee performance.
The Chief AI Officer is a top manager who is responsible for the implementation of AI in the company's strategies. His task is to determine how the neural network can help the company grow, what technologies should be used, and how to allocate resources.
Read also
From Trainer to Engineer: 6 New IT Professions for Those Who Want to Work with Neural Networks