A few decades ago, the term Artificial Intelligence was reserved for scientific circles and tech-enthusiasts who wanted to sound cool. But, ever since its coining in 1955, AI has only grown in popularity. Today, you wouldn’t find a technology magazine that doesn’t mention artificial intelligence in every other paragraph.
Who is an AI Engineer?
The last decade has made tremendous progress in refining AI and its real-life applications. Most technological advancements of recent times are based on AI to at least some extent. Be it top-level research in genetics or the camera of your smartphone; artificial intelligence is everywhere. Naturally, the individuals equipped with decent AI skills are in high demand all across the globe.
Colloquially termed as AI engineers, these professionals are usually computer science students who post-graduate in artificial intelligence. However, neither of the above is mandatory. There are many informative guides present on the internet that provide in-depth information on how to become an AI engineer. Besides, you can learn AI and become an AI engineer by doing artificial intelligence courses online too.
What Does an Artificial Intelligence(AI) Engineer Do?
Before getting on the question at hand, we need to know top AI engineer's job roles. Machine Learning (ML) Engineers, Data Scientists, Data Analyst, Computer Vision Engineer, Business Intelligence Developer, and Algorithm Engineers are just some of the many different positions that come under the umbrella of AI engineering. Each of these positions entails a different job-profile, but, generally speaking, most AI engineers deal with designing and creating AI models. Everything from the maintenance to performance supervision of the model is the responsibility of the AI engineer.
Like we said, most AI engineers come from a computer science background and have strong programming skills, which is a non-negotiable part of an AI engineer’s position. Proficiency in Python and Object-Oriented Programming is highly desirable. But, for an AI engineer, what is even more important than programming languages is the programming aptitude. Since the whole point of an AI system is to work without human supervision, AI algorithms are very different from traditional codes. So, the AI engineer must be able to design algorithms that are adaptable and capable of evolving.
Other than programming, an AI engineer needs to be conversant in an assortment of disciplines like robotics, physics, and mathematics. Mathematical knowledge is especially crucial as linear algebra and statistics play a vital role in designing AI models.
AI Engineers Salaries Across the Globe
At the moment, AI engineering is one of the most lucrative career paths in the world. The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 8 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.
- Although AI engineering is still an emerging career-path, the early adopters of AI with more than ten years of experience in the field can charge up to 1 crore per annum. These fantastic figures are not limited to India, though.
- The average annual AI engineer salary in the US is over $110K.
- The annual AI engineer salary in Canada is over 85,000 C$ on an average.
- Prospects for AI developers are just as bright in Europe with a median AI engineer salary in the UK being over 60,000 pounds per annum.
- In contrast, the annual AI engineer salary in Germany is somewhere around €84,574.
- As for other major AI markets, the AI engineer salary in Australia can be as high as $110,000 per year.
- And, the average annual AI engineer salary in Singapore is S$74,943
However, you must note that these figures can vary significantly based on several factors like:
- The type of AI engineering viz. ML, Data Science, etc
- Skills and qualifications
Companies Hiring for Artificial Intelligence Engineers:
Here is the list of companies/ startups hiring in AI right now are IBM, Fractal.ai, JPMorgan, Intel, Oracle, Microsoft, etc.
Best Countries for Artificial Intelligence Jobs
The top 7 countries with the maximum opportunities for Artificial Intelligence (AI) Professionals are:
- United States (US)
- United Kingdom (UK)
As we have already mentioned in the previous section, there are various positions that an AI engineer can take up. An AI engineer’s salary depends on the market demand for his/her job profile. Presently, ML engineers are in greater demand and hence bag a relatively higher package than other AI engineers. Similarly, the greater the experience in artificial intelligence, the higher the salary companies will offer. Now, although you can become an AI engineer without a Master’s degree, it is imperative that you keep updating and growing your skillset to remain competitive in the ever-evolving world of AI engineering.
Check out the video below that talks about the job opportunities and skills that one should master to become successful in AI industry.
What Can the Year 2022 Bring for AI Engineers?
Even as you read this article, the demand for AI is booming across the globe. AI engineer salaries will keep rising as industries like tech, financial services, and medical research turn to artificial intelligence. As more global brands like Google and Nvidia dive deeper into Artificial Intelligence (AI), the demand and the salaries for AI engineers will only go upwards in 2021 and the decades to follow. Even government agencies in many developed and developing nations will open up AI engineer positions as they realize the enormous impact AI can have on the defense and governance sector.
Looking at the current pandemic scenario, jobs are better left till the dawn of next year. The time you have right now will be far better utilized in upgrading your AI repertoire.
Unlike most other fields, AI of tomorrow will look nothing like the AI of today. It is evolving at a breathtaking speed, and ensuring your Artificial Intelligence (AI) skills are relevant to current market needs, you better keep upgrading it. But, do not be overwhelmed, because in Artificial Intelligence (AI) - like in all walks of life - taking the first step matters the most. Completing an AI for beginners course is as good a first step as any. Follow it up with more Advanced Artificial Engineer Master’s Program and preparations for AI interview questions. And, before you know it, you will be standing in the world of AI engineers!