A self-taught AI engineer can land a six-figure job in MAANG due to high demand
Although data science is the most popular career path in the data industry, it is by no means the only one. As a data enthusiast, there are many additional lucrative job options to consider such as self-taught AI engineer. This article will tell you about the relatively new position of an AI engineer.
A quick LinkedIn search for AI engineering jobs worldwide returned 30,267 results. This figure shows the growing need of the industry for AI engineers. In-demand companies are always looking for qualified AI software engineers and research engineers with competitive salaries. If you are new to this field or a software engineer looking to switch careers, there has never been a better moment to sharpen your Artificial Intelligence capabilities. If you are an AI engineer, a six-figure job is assured in MAANG companies.
In the data sector, the AI engineer position is relatively new. Companies used to recruit people with a wide variety of specialties, including data scientists, data engineers, and machine learning engineers. Then, these individuals will collaborate in various teams to create and implement certain ones. Many AI-driven businesses are beginning to understand that these professions are closely related, however. There are people who are adept at all three who can develop, scale and implement AI models.
People with all of these skill sets are uncommon and very valuable to corporations. One of the main reasons for the high demand for AI engineers is the increase in the number of job advertisements requesting AI engineer expertise.
AI engineers often combine their expertise with those of software developers, data scientists, and data engineers. This individual is capable of developing and deploying fully functional, scalable artificial intelligence systems to end users. Depending on the objectives of their businesses, AI experts use deep neural networks and machine learning algorithms to derive useful business insights. Engineers in artificial intelligence move between software development and machine learning algorithm implementation as problem solvers.
Engineers in AI can come from a wide range of backgrounds. An AI engineer has a very unique set of talents from other professionals. You must have good technical and programming expertise, apart from being proficient in developing machine learning models using statistics and arithmetic. As a result, most AI engineers have a background in computer science, software engineering, data science, statistics, or mathematics.
But let’s say you don’t have a quantitative degree or come from one of these educational backgrounds. If so, then you can develop all the necessary capabilities on your own by working on AI projects and getting firsthand knowledge about the job of an Artificial Intelligence Engineer.
A quantitative degree in subjects such as computer science and statistics is advantageous but not essential. If a person learns all of the above machine learning tools and techniques and has good statistical and coding abilities, they can potentially find employment as a self-taught artificial intelligence engineer. All these artificial intelligence talents can be taught to ourselves from the very beginning. We’ll outline several steps you can take to prepare yourself to become an artificial intelligence engineer in the next section.
If you love programming and are interested in the subject of machine learning, then this career path may be ideal for you. There is not much competition to become an AI engineer. The job market is overcrowded with people trying to get into highly competitive fields like software engineering and data science. The entry barrier for AI engineers is quite high as they must have a skill set that covers software engineering and other data-related positions.
Without the ability to manage data and apply machine learning models, statisticians and data scientists are unable to become AI engineers. Without a working knowledge of statistics and deep learning, software developers cannot become AI engineers. Because fewer people meet the requirements for employment as AI engineers, there is less competition for those positions as a result.
So what’s the average salary for AI engineers? The average annual compensation for AI engineers in the US is around US$165K. The average salary for a Data Scientist is around US$130K, thus the remuneration is high. Additionally, it is higher than the average annual salary of a software developer, which is around US$100,000. Similar to pay for other career roles, AI engineer salaries vary by employer, region, sector, and educational background.
Although the AI engineer position is still very new in the field of data, it is here to stay. The market is in dire need of people with the necessary capabilities to develop scalable AI solutions. To build machine learning products, businesses of all sizes recruit AI developers. Another advantage of working as an AI engineer is that, if you wish, you can quickly switch to other careers in software engineering, data engineering, data science, and machine learning engineering. Additionally, the salary of an AI engineer is far higher than that of both a data scientist and a software engineer.