Artificial Intelligence Careers: 5 Options to Explore in 2024

Good news for those working in the expanding field of artificial intelligence, as the outlook for artificial intelligence careers is favorable. Data scientists and ML engineers are at the top of the list.

According to the US Bureau of Labour Statistics (BLS), the employment of computer and information research scientists is expected to increase by 21% between 2021 and 2031, including opportunities in artificial intelligence. This is a lot quicker than usual. Given the growth of ChatGPT during the most recent AI boom, consider artificial intelligence careers. Let us walk you through the AI jobs you may pursue and the qualifications you'll need.

1.AI Engineer

AI engineers are specialists that create systems and apps that improve organizational efficiency using AI and machine learning methods. AI engineering aims to provide the instruments, frameworks, and procedures for applying AI to practical issues. Algorithms are "trained" by data, which enables them to learn and perform better. When Artificial Intelligence Careers, AI engineers may provide cost-cutting assistance, boost productivity and revenues, and provide business advice.

Average Salary: US$120,017

2.ML Engineer

Engineers that specialize in machine learning do research, create, and construct the AI that powers this technology. They keep up with and enhance current Artificial Intelligence Careers and AI systems. A machine learning engineer frequently works with the data scientists who create the models for creating AI systems as a liaison with other data science team members. They conduct statistical analysis, undertake trials and tests, and build machine learning systems.

Average Salary: US$125,087

3.Data Scientist

Data scientists assist teams and organizations in identifying the questions they should be asking and then determine how to use data to get the answers. They frequently create predictive models to anticipate and theorize about trends and outcomes. A data scientist may use machine learning techniques to enhance the quality of data or product offers.

Average Salary: US$126,575

4.Data Engineer

Data engineers create systems that gather, handle, and transform unprocessed data into information that can be analyzed by data scientists, business analysts, and other data specialists. They open up data so businesses can use it to assess and improve their performance. There are applications for data engineering in almost every industry.

Average Salary: US$115,592

5.Robotics Engineer

Robotics experts create robotic applications for various sectors, including automotive, manufacturing, defense, and medical. A robotics engineer builds test prototypes or creates new items. Some could supervise the creation of robots while being made on-site at a manufacturing facility, while others keep an eye on their performance in the real world. Computer science and mechanical and electrical engineering are combined in robotics engineering.

Average Salary: US$101,062

Additionally, you can also consider the following:

Software Engineer

Software engineers, who are often referred to as developers, write code for computers and other devices. Anything from a computer game to network control systems may be developed using programming languages, platforms, and architectures. Software created by other engineers may also be tested, enhanced, and maintained by software engineers. You could appreciate this job if you're an analytical thinker who enjoys resolving issues and improving digital systems.

Average Salary: US$107,169