Employment prospects for artificial intelligence majors are broad.
Machine learning engineers are professionals who are responsible for the development and management of machine learning projects within an organization. Their main work includes understanding business problems, collecting and cleaning data, selecting or creating suitable models, training and optimizing models, and deploying and maintaining models. They need to have a deep understanding of multiple machine learning algorithms and be familiar with data analysis and model development using programming languages such as Python and R.
Data scientists are a group of professionals whose area of expertise is to process large amounts of data and extract valuable information from it. They use statistics and machine learning techniques to perform in-depth analysis of data to reveal hidden patterns, uncover new insights, and even predict future trends. Data scientists need to have extensive statistical knowledge, programming skills, data visualization capabilities, and machine learning skills.
AI Fellows: AI Fellows strive to promote scientific and technological progress in the field of AI. They may work in the R&D departments of universities, research institutes, or technology companies. The work of AI researchers usually requires a Ph.D. and solid theoretical knowledge, and their tasks are to propose and verify new theories, invent and improve algorithms, or explore new areas of application.
The job of a natural language processing engineer is to use artificial intelligence to enable computers to understand and generate human language. Their scope of work includes building and optimizing chatbots, speech recognition and synthesis systems, sentiment analysis systems, machine translation systems, and other language-related applications. They need to understand the theory and techniques of natural language processing, including word meaning and syntactic analysis, language models, and the latest deep learning methods.
Image Processing Engineers: Image processing engineers are responsible for developing and improving technologies that enable computers to understand and analyze visual information. Their work may include working with images and videos, performing feature detection and description, object and scene recognition, and other related tasks. They need to have in-depth knowledge of the theory and techniques of computer vision, including image processing, feature detection and matching, machine learning, and the latest deep learning methods.
Artificial Intelligence (AI) Product Manager: The role of an AI product manager is to manage and direct the development of AI products. They need to understand AI technology and be able to clearly describe the needs and direction of the product. Their work includes market research, product planning, requirements management, project management, and coordination with other teams.
With the popularity of AI technology, the role of AI ethics advisors is becoming increasingly important. Their role is to ensure that the company's AI products and services meet ethical and legal requirements. They may need to research and answer ethical and legal questions related to issues such as data privacy, algorithmic impartiality, and attribution of responsibility for AI systems.
The job of an AI consultant is to help companies understand and apply AI technology. They need to have in-depth knowledge of the various AI technologies and be able to assess which one is best suited to meet the customer's business needs. Their responsibilities include providing technical advice, designing solutions, implementing projects, and providing follow-up technical support.
These positions are in high demand for professionals with AI-related knowledge and skills, so AI graduates have a lot of options when looking for a job.