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What skills are needed to work in AI?

- Reading Time: 2 minutes
Unlock the door to AI excellence with the must-have skills. From programming prowess to mathematical mastery, discover what it takes to thrive in the dynamic world of Artificial Intelligence.

Working in artificial intelligence is an excellent, forward-looking career choice, but requires important skills in several areas. Find out what skills you need to work in AI.

It’s now a certainty: over the coming years, artificial intelligence will change our lives. In every field, in every industry, this revolutionary technology is going to turn our habits upside down.

AI will undoubtedly bring about a massive wave of automation, as machines will be able to perform the same tasks as humans at lower cost and sometimes even faster. This automation will bring many benefits, but it will also jeopardize many jobs that will become unnecessary.

In fact, many people are now considering a career or retraining in the field of AI. Over the past four years, the role of artificial intelligence specialist has been the fastest-growing in the USA.

Over the past five years, data from the Indeed website reveals that jobs in AI have boomed. A 46% increase took place between 2018 and 2019, and 51% between 2019 and 2020. In March and July 2020, AI-related job searches also increased by 20%, and by 106% since June 2019.

However, there is a real shortage of AI experts. It’s estimated that there are six times as many job offers as candidates, and that demand has tripled in three years. So there are plenty of opportunities to launch your career in this sector.

Working in AI requires technical skills and business expertise

To work in AI you’ll need to acquire technical skills such as managing and configuring APIs and artificial neural networks. You’ll also need expertise in data analysis and data science.

For the majority of positions, candidates will be expected to master the Python programming language, as well as C# and R.

For technical roles, the most sought-after profiles are Machine Learning specialists, or developers and Data Scientists with experience in Natural Language Generation, virtual agents and speech recognition. Finance and human resources professionals with expertise in cognitive automation are also currently in high demand.

To work in AI, business analysis skills are also required. These skills include process re-engineering, business case analysis, agile and DevOps methods, and vendor selection.

Finally, to fill certain positions, managerial skills are expected. These include data governance, AI architecture and the management of intellectual property rights between vendors and customers.

Where can you train to work in artificial intelligence?

Artificial intelligence is a highly scientific discipline. A career in this field therefore requires high-level diplomas and training courses such as those offered by DataScientest.elficial intelligence?

However, “real world” experience is just as important. Concrete skills such as creating datasets, developing a Machine Learning model or using Python and R notebooks are almost indispensable.

What’s more, companies are looking for profiles that are not only highly qualified, but also able to “cross-fertilize” their skills. A Data Science specialist, for example, will also need to master another field, such as the company’s business sector and its specificities. This will enable them to accurately identify the problems that AI can help solve.

Keep in mind that the AI sector will continue to evolve at a breakneck pace in the years to come. So it’s essential to keep abreast of these developments, so that you can keep abreast of employers’ new expectations and requirements in terms of skills…

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