Over the last decade, Artificial Intelligence (AI) has emerged as one of the fastest growing industries in the world. Some predict AI will create more jobs than it takes away, while others believe AI will completely replace human employment in the future. Whether you’re an entrepreneur looking to launch your own AI company or a student who wants to enter the industry, this list of careers in artificial intelligence is here to give you some ideas about how you can help shape the future of AI and lead our society into a new technological age!
1-Data scientist:
A data scientist is tasked with analyzing petabytes of unstructured data to find insights that will help drive a company’s decision-making processes. Data scientists are, essentially, highly trained statisticians and computer programmers who have spent their careers amassing knowledge about fields like artificial intelligence (AI) and machine learning. Data scientists must have an aptitude for math and statistics, a breadth of programming skills, and mastery of statistical tools.
2-Content developer:
If you have a passion for technology and thrive on problem-solving, then a career as a content developer may be your calling. Content developers often work closely with programmers and artificial intelligence professionals to help develop technical documentation and user manuals. There are no formal education requirements for these positions, but content developers usually earn degrees in computer science or business administration.
3-Chatbot developer:
In artificial intelligence, chatbots are a way of communication with customers or supporters Chatbots can be programmed to perform tasks or functions such as providing weather forecasts, news updates, and answering general questions. While initially simple programs that mimic real-life conversations, chatbots have evolved over time to include methods of learning artificial intelligence (AI). Bots are not only able to have real conversations but also use data mining and machine learning technology making them better each time they talk with a person.
4-Diagnostic engineer:
Although artificial intelligence has been a part of the industry for decades, it has exploded as a discipline within engineering over just the past several years. In fact, studies have shown that nearly 75 percent of all new job opportunities related to AI will be available to software engineers and other technology professionals. In particular, there’s an extreme shortage of trained professionals who are able to work with large datasets and make sense of them using their analytical knowledge.
5-Quality control engineer:
It’s likely that one of these robots will take over your job, at least to some extent. Quality control engineers test manufactured products for defects, ensuring that what’s coming off of a factory line is up to snuff. A quality control engineer who works with AI could use computer algorithms to test and make improvements to software programs or robotic machinery. You can read more about careers in quality assurance here.
6-Model development engineer:
As computer hardware continues to get smaller and faster, the software has to keep up. For example, even small computers have multiple gigabytes of RAM and terabytes of storage space—but we all know that true artificial intelligence requires massive amounts of data to power it. Model development engineers work with supercomputers and some of the world’s fastest systems; if you want to work with artificial intelligence on a cutting-edge scale, working as a model development engineer is one way you can make that happen.
7-Data architect:
A data architect sifts through all of your company’s collected data—from your customer information to your profit and loss statement—and determines what data should be stored where and for how long. This can be a difficult process as there is no clear-cut standard for proper information storage, so a lot of technical knowledge is required. Luckily, an undergraduate degree isn’t required to become a data architect, but some computer science classes are recommended.
8-Embedded systems engineer:
Work with and build embedded systems that can be manipulated by a computer, such as a laptop or phone. Embedded engineers are responsible for creating highly integrated hardware and software, working with microcontrollers or digital signal processors. Embedded systems engineers can also work with systems that monitor and regulate processes within power plants, factories and other large-scale operations.
9-Monitoring and maintenance engineer:
As AI technology grows more common, there will be a greater need for professionals who can help to ensure that it is working correctly. Much like IT specialists monitor and maintain computer networks, monitoring and maintenance engineers will work to ensure that AI is performing as intended.