The Most In-Demand Artificial Intelligence – AI Jobs Around the World

The Most In-Demand Artificial Intelligence – AI Jobs Around the World

According to website Tech Republic; we will continue to see job growth in anything AI-related for the next five to 10 years, which is one of the things that will mitigate the oft-publicized inevitable job loss due to AI-led automation.


1. Machine learning engineer

2. Data scientist

3. Research scientist

4. R&D engineer

5. Business intelligence developer

6. Computer vision engineer

As the field grows, most experts agree that few, if any, current AI jobs are going to fall out of style and stop hiring.

Most of these in-demand jobs require similar skills, including strength in mathematics and machine learning skills.

There are certain technical requirements that tend to be pretty standard, such as a CS degree or programming skills. Though from data we are also seeing that a background in programming languages such as Python, Java, C/C++, and past experience in artificial intelligence, machine learning or natural language processing are all top skills employers look for in applicants.

How to get a job in AI

Outside of having the standard skillset and education, there are other ways to be a strong candidate for these lucrative gigs. Here are five things experts recommend to improve your application, whether you’re working in the field already or not.

  • Check out online courses. 

Like many tech-based fields, there are several online courses for AI topics, allowing someone to learn more about the field as a whole or gain more specialized knowledge.

  • Join outside organizations. 

Learning from others in the field can help improve your skills, so check out local hackathons or similar meetups. Getting involved with organizations that allow data scientists to work on new data, practicing and growing your skills while learning from your peers is important.

  • Add standard business knowledge. 

Many of the in-demand AI jobs are technical by nature, but knowing how to translate those developments to other businesses or consumers is important for any organization.

Since folks who are typically very technical don’t necessarily have the business acumen necessary to translate the results of these models into operationalized AI systems that impact the bottom line while having a positive impact on the customer experience as well,” Purcell said; there is also increasing demand for a different skill set that includes familiarity with AI techniques as well as deep business and domain expertise.

  • Read a lot. 

Multiple experts agreed: Those working in AI should always be learning, and reading is a way to do that. Roman Yampolskiy, director of the Cybersecurity Laboratory at the University of Louisville, recommended subscribing to scientific publications.

“The real trick is to read. Read a lot. Not just your own area but all the related areas. And a few things even more distant,” Walsh said, recommending science and nature topics across multiple platforms.

  • Be a sponge. 

AI is a rapidly developing field, it is recommended that you be prepared to explore as many experiences and opportunities in AI as possible.

Keep up to date on latest research in AI – there is so much advancement happening every single day. This may include looking for opportunities inside your current workplace or outside. Make sure that they do not get pigeon holed into one area.


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