8 of the most in-demand AI careers

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

Thanks to ChatGPT’s reputation, the concept of artificial intelligence is no longer an abstract concept. AI has been quietly used in the background on most social platforms, but now it’s accessible to everyone. From writing code to CVs, people are using AI to make their lives easier.

Many technology visionaries believe AI will have the same impact as the internet, smartphones and mobile web. Rather than take a Luddite approach and negate the benefits that AI can deliver, now is the time to embrace technology, including jobs.

Along with machine learning, artificial intelligence is one of the fastest growing areas of technology, and there are many exciting career opportunities for those looking to prove their future career. AI is projected to create 97 million new jobs by 2025, and many companies struggle to find qualified talent who can create, 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 over the next few years. These roles require prior knowledge of computer science and mathematics, but online courses in these areas are emerging as fast as technology advances.

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

machine learning engineer

One of the most in-demand AI-related roles, machine learning engineers are responsible for designing, building, and deploying machine learning models. Work with large datasets, develop algorithms, and optimize model performance. A career as a machine learning engineer offers well-paid and stable jobs.

AI Ethics Specialist

One of the biggest AI-related concerns many people have is the potential bias caused by human bias during programming. As such, AI ethics experts are key to fairness in AI. AI Ethics Specialists are responsible for ensuring that AI-powered products and services are developed and used in an ethical and responsible manner. This includes identifying potential ethical issues and developing guidelines and policies for AI development. Like all other roles on this list, a background in computer science is required, but a strong background in ethics and philosophy is also required.

data scientist

Some consider 2023 to be the year of the data scientist. With nearly 32,000 job postings on LinkedIn, getting into data science is a great way to secure a future career in AI. Data scientists analyze large amounts of data to uncover patterns and insights that help make business decisions. This involves using machine learning algorithms and statistical models to identify trends and make predictions. This role typically requires a strong background in statistics, mathematics, and computer science.

AI researcher

With an average salary of £42,000 (US$50,000) per year, careers in AI research in high demand offer great opportunities. AI researchers are responsible for developing new algorithms and models for machine learning. This includes researching machine learning techniques, experimenting with different approaches, and publishing the results.

robotics engineer

dream someday actual work with robots? Robotics engineers are responsible for designing and building robots that can perform specific tasks. This involves integrating machine learning algorithms into the robot’s control system so that it can learn and adapt to new situations. It’s not easy to get into this profession as it requires a strong background in electrical and mechanical engineering, but it’s not only very rewarding, it’s also very cool.

Natural Language Processing (NLP) Engineer

Without the input of natural language processing engineers, the phone would have been used in a very different way. NLP engineers are responsible for developing algorithms and models for processing and analyzing natural language data. This includes working with large datasets of text and speech, developing algorithms for data analysis and classification, and optimizing model accuracy. A passion for languages ​​and problem-solving skills are essential to being a successful NLP engineer.

computer vision engineer

One of the most “futuristic” roles on our list, computer vision engineers make it easy for computers to “see” images and videos. Also known as CV engineers, they develop algorithms and models for analyzing visual data. This includes working with large datasets of images and videos, developing algorithms to identify objects and patterns, and optimizing model accuracy.

AI Product Manager

Finally, who manages the AI ​​project lifecycle? AI product managers are responsible for overseeing the development of AI-powered products and services. This includes identifying user needs, defining product requirements, and managing the development process. Success in this role requires a background in product management and a strong understanding of AI and machine learning.