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The global artificial intelligence market size is expected to grow from $93.53 billion in 2021 to $997.77 billion in 2028.

The biggest companies – from Facebook and Microsoft to Amazon and Google – are pumping billions of dollars in AI and Machine Learning every year.

The numbers and trends objectively underline where we’re heading: A world driven by AI and ML techs.

So, if you’re looking for an industry that assures high-paying (and exciting) career opportunities, AI and ML won’t do you wrong. The opportunities are even more in developed nations like the USA and Canada – both of which promote AI-driven innovations extensively, also homing some of the biggest new-gen companies working on artificial intelligence and machine learning.

How much money do they make?

The annual salary of individuals working in AI and ML is considerably high in the US and Canada. And the growth opportunities are just as high.

In the US, the average salary of a data scientist and machine learning engineer is $111,943 and $122,084 respectively. A lead data scientist makes $148,856. The AI specialists earn $132,995 a year.

In Canada, the average salary of a data scientist and machine learning engineer is C$91,511 and C$87,429 respectively. A lead data scientist makes C$125,142. An AI specialist earns C$99,996 and a machine learning specialist earns C$104,762.

Types of jobs on AI and ML

We’re still at a nascent stage when it comes to artificial intelligence and machine learning. Different companies are exploring these technologies differently. Industries that are actively working in implementing AI in their operations, one way or another, include healthcare, education, transportation, information technology, supply chain management, business intelligence, cybersecurity, and manufacturing.

So, there are many diverse job opportunities that are also continuously evolving based on the organization’s shifting needs and requirements.

In layman’s terms, artificial intelligence is a concept that focuses on training computers so that the computers can replicate human intelligence and do things just like humans – or even better. Machine learning, on the other hand, is a subset of AI that allows computers to learn and evolve through data.

Here are some of the top job titles in AI and ML:

  • Machine learning engineer
  • Data scientist
  • Business intelligence developer
  • Research scientist
  • Big data engineer/architect
  • Algorithm engineer
  • Machine learning researcher
  • IoT architect
  • Computer scientist
  • Computer vision engineer
  • Software engineer
  • Software developer

Want to explore AI and ML?

If you’re still at the stage in your life wondering where to navigate your career, AI and ML could very well be your north star.

Start by first seeking career counseling.

If this is indeed the option you want to explore, pick the right/relevant program in any of the top universities abroad; preferably a university that is known to produce great minds in AI and ML. For this, seek the assistance of an overseas education consultant.

An expert can help you find the right university and get admission there; they can even help you with finance and student visa. So, find any of the top overseas education consultants and work with them to turn your dreams into a thriving career.

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