What is the employment prospect of artificial intelligence software?

The employment prospect of artificial intelligence software is still very good. Artificial intelligence technology will become one of the necessary skills for people in the workplace. As agents gradually enter the production environment, people in the workplace will communicate and cooperate with a large number of agents frequently in the future, which puts forward new requirements for people in the workplace, that is, they need to master the related technologies of artificial intelligence.

From this point of view, mastering artificial intelligence technology will become an inevitable trend in the future, and the market of related skills will also usher in huge development opportunities, and the development of industrial Internet will inevitably lead to the development of artificial intelligence.

Internet is currently developing from consumer Internet to industrial Internet. Industrial Internet will comprehensively apply related technologies such as Internet of Things, big data and artificial intelligence to empower traditional industries. As one of the important technologies, artificial intelligence will inevitably release a large number of jobs in the development of industrial Internet. The salary conditions will also be greatly improved on the original conditions.

So what exactly does artificial intelligence work include?

I. algorithm engineer

Algorithms are a series of clear instructions to solve problems, and different algorithms may use different time, space or efficiency to complete the same task. The advantages and disadvantages of an algorithm can be measured by space complexity and time complexity. Algorithm engineer is the person who uses algorithms to deal with things.

Second, the machine learning engineer

Machine learning engineer is a combination of two important roles: data scientist and software engineer. The main job of data scientists is to deal with big data, while software engineers are responsible for writing programs.

The work of a data scientist is analytical. They use a combination of mathematics, statistics, analytical skills and machine learning tools to process and analyze large amounts of data to gain business insight. Applications created by data scientists are difficult for software engineers to understand because they are complex and have no design patterns.

Third, AI engineers.

An artificial intelligence engineer is an engineering technician who is engaged in the analysis, research and development of various technologies related to artificial intelligence, such as algorithms and deep learning, and designs, optimizes, operates, manages and applies artificial intelligence systems.

Fourth, the machine coach.

The machine trainer is responsible for optimizing the robot knowledge base of each channel; Collect relevant data from various channels, configure appropriate questions and answers according to the data analysis results, and constantly optimize them to continuously improve the response speed and accuracy of the robot; As well as the proportion of robot services and the improvement of service quality, the customer service experience of robots is continuously improved, thus improving the conversion rate of stores; It is also necessary to optimize the robot service process and combine business knowledge to complete accurate services in various scenarios.