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Artificial intelligence (AI), machine learning, data analytics, and cloud computing had been rapidly increasing over the years even before the corona virus pandemic (even decades). However, during the current global health crisis, they have become indispensable in today’s society in justĀ  about a year or so.

With such a driving force behind these technological adaptations, demand for both employers and individuals with the skills and expertise required by digitally transformed industries and sectors has expanded dramatically.

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According to data, the demand for AI capabilities has more than doubled since 2015, with the number of job listings increasing by 119 percent, according to the online job portal Indeed.

So if you want to work in artificial intelligence, software development or data science, what kind of employment should you seek?
What education qualifications do you require?
What kind of remuneration can you expect?

Let’s take a look at some of the most exciting jobs in the technology business.

Machine learning engineering

This branch of artificial intelligence is ideal for students interested in computer science who wish to work in a fast-paced and exciting industry.

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Machine learning engineers use large amounts of data to create complex algorithms that are then used to program a machine (such as a self-driving car or a digital voice assistant) to perform human tasks.

Economic forecasting, image recognition, and natural language processing are all included to allow the machine to learn and develop without the need for human intervention.

What level of education do you require?

It is required that you have a master’s degree in artificial intelligence and/or computer science.

UX designer

UX (User eXperience) designers are in charge of the ‘behind-the-scenes’ design of software, websites, or apps to ensure that they are compatible with users’ habits, motivations, behaviors, and needs. It’s never been more important to offer the best possible user journey and experience as more businesses turn to digital platforms to promote and sell their products or services.

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What level of education do you require?

An appropriate undergraduate degree, such as computer science, is required, as is a postgraduate degree. Professional course in the field is also required.

Robotics engineer

Robotics engineers must constantly examine, review, configure, test, and manage the prototypes, robotic components, integrated software, and machines they produce for the manufacturing, mining, and automotive service industries, among others, as technology continues to upgrase at a fast pace. It’s a really complex job that requires a lot of patience and rationality.

Over the next several years, we’re going to see a slew of new and imaginative ways that modern technology aid society and industry – particularly in healthcare.

What level of education do you require?

A master’s degree in robotics or computer science will provide you with the necessary skills, knowledge, and experience to enter the area of robotics engineering.

Data science

Data science positions dubbed the “sexiest job of the twenty-first century,” aren’t fresh and emerging like other tech careers like cloud computing engineers (more on these later) or machine learning engineers, but they are still and will continue to be the hidden treasure within any organization.

The demand for trained specialists has risen dramatically as businesses and organizations acquire and use more data every day. Data scientists are responsible for compiling, processing, analyzing, and presenting data for an organization for it to make more informed decisions, with opportunities to work in nearly every area from IT to healthcare and manufacturing.

What level of education do you require?

A thorough understanding of data science and analytics is required to stand out in the field of data science.

Cloud engineering

In recent months, cloud computing has become a must-have for distant workers. Businesses have been scrambling to locate personnel with the skills and experience required to migrate processes, put up proper infrastructure, and do cloud-related tasks at the same time.

Cloud engineers are also known as solutions architects, cloud developers, and sysops engineers. The functions and responsibilities of a cloud engineer may vary depending on the situation, but a cloud engineer’s general responsibility is to plan, monitor, and administer an organization’s cloud system, such as Microsoft 36, Google Cloud, and Slack, amongst others.

What level of education do you require?

A postgraduate degree, like with many of today’s tech jobs, is virtually always necessary, as is related professional experience. High-performance computing and scientific data management, robots, adaptive computation, and machine learning, multi-agent systems, and human-computer interaction are just a few of the electives available to students pursuing an MSc in Computer Science at Wits University.

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