8 Most In-Demand AI Careers

Artificial intelligence (AI) will revolutionize our lives, and while AI may take some jobs, it will also create thousands of careers.

Thanks to the popularity of ChatGPT, the concept of artificial intelligence is no longer an abstract notion. While AI has been used quietly in the background on most social platforms, it is now available to everyone. From writing code to CVs and everything in between, people are using AI to make their lives easier.

Many tech visionaries believe that AI will have the same impact as the internet, mobile phones and the mobile web. Instead of taking a Luddite approach and dismissing the benefits that AI can bring, now is the time to embrace technology, including work.

Along with machine learning, artificial intelligence is one of the fastest growing fields in technology, and there are plenty of exciting career opportunities for those looking to future proof it. There are Predictions that will be generated by AI 97 million new jobs by 2025, and many businesses are struggling to find qualified people who can build, train and maintain AI and ML systems.

For those considering a career change, we’ve identified eight roles within AI that will be in high demand in the coming years. Although these roles require prior knowledge of computer science and mathematics, online courses in the field are emerging as quickly as technological advances.

So if you’re thinking of training yourself for a career in artificial intelligence, consider these exciting opportunities.

Machine learning engineer

One of the most in-demand AI-related roles, a machine learning engineer is responsible for designing, building, and deploying machine learning models. You will work with large data sets, developing algorithms and optimizing models for performance. A career as a machine learning engineer will land you a high-paying role and job security.

AI ethics specialist

One of the biggest concerns many have with AI is the bias that can arise from human biases during programming. Therefore, an AI ethics specialist is crucial for AI impartiality. An AI ethics specialist is responsible for ensuring that AI-powered products and services are developed and used ethically and responsibly. This includes identifying potential ethical issues and developing guidelines and policies for AI development. Like all the other roles on this list, you’ll need some background in IT, but you’ll also need a strong background in ethics and philosophy.

Data Scientist

Some believe it is 2023 year of the data scientist. Almost 32,000 job offers on LinkedIn, getting into data science is a great way to future proof your career in AI. A data scientist analyzes large amounts of data to find patterns and insights that inform business decisions. This involves using machine learning algorithms and statistical models to identify trends and make predictions. A strong background in statistics, mathematics and computer science is usually required for this role.

AI researcher

With an average salary of £42,000 (US$50,000) per year and growing demand, a career in AI research offers tremendous opportunity. He is an AI researcher responsible for developing new algorithms and models for machine learning. This involves researching machine learning techniques, experimenting with different approaches, and publishing the results.

Robotics engineer

never dreamed really working with robots? A robotics engineer is responsible for designing and building robots that can perform specific tasks. This involves integrating machine learning algorithms into the robot’s control system to learn and adapt to new situations. You’ll need a strong background in electrical and mechanical engineering, so it’s not the easiest career to get into, but it can be very rewarding and very cool.

Natural language processing (NLP) engineer

Without the contributions of natural language processing engineers, we would use our phones in a completely different way. An NLP engineer is responsible for developing algorithms and models for processing and analyzing natural language data. This involves working with large text and speech datasets, developing algorithms for data analysis and classification, and optimizing models for accuracy. A passion for languages ​​and problem-solving skills are essential to becoming a successful NLP engineer.

Computer vision engineer

Truly one of the more “futuristic” roles on our list, a computer vision engineer makes it easier for computers to “see” images and videos. They are also known as CV engineers: they develop algorithms and models to analyze visual data. This involves working with large sets of images and videos, developing algorithms to identify objects and patterns, and optimizing models for accuracy.

AI Product Manager

Finally, who will manage the lifecycle of an AI project? An AI product manager is responsible for overseeing the development of AI-powered products and services. This includes identifying user needs, defining product requirements, and managing the development process. You will need a background in product management and a strong understanding of AI and machine learning to succeed in this role.