Can a Self-Taught AI Engineer Get a Six-Figure Job in MAANG Companies in 2023?

A self-taught AI engineer can get a six-figure job in MAANG because of the high demand

Although the most popular professional path in the data industry is data science, it is by no means the only one. As a data enthusiast, there are several additional lucrative job alternatives to think about, such as a self-taught AI engineer. This article will guide you through the relatively new position of AI engineer.

A quick LinkedIn search for AI engineering jobs worldwide returned 30,267 results. This figure reflects the industry’s growing need for AI engineers. MAANG companies are always looking for qualified AI software engineers and research engineers with competitive pay. Whether you’re new to the field or a software engineer looking to change careers, there’s never been a better time to brush up on your artificial intelligence capabilities. A six figure job in MAANG companies is for sure if you are an AI engineer.

In the data sector, the position of an AI engineer is relatively new. Companies used to recruit people with a variety of specialties, including data scientists, data engineers, and machine learning engineers. Then these individuals will work together in different teams to create and implement some people. However, many AI-driven businesses are beginning to understand that these professions are closely related. There are people skilled in all three who can develop, scale and apply AI models.

People with all these skills are quite uncommon and are very valuable to corporations. One of the main reasons for the enormous demand for AI engineers is this, as seen by the increase in the number of job advertisements requesting an AI engineer’s expertise.

AI engineers frequently combine their expertise with that of software developers, data scientists, and data engineers. This individual is capable of developing and deploying fully functional, scalable artificial intelligence systems for end users. Based on the goals of their businesses, AI experts use deep neural networks and machine learning algorithms to gain 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 variety of backgrounds. An AI engineer possesses a very unique set of talents from other professionals. You must have good technical and programming expertise, in addition to being proficient in developing machine learning models using statistics and arithmetic. As a result, the majority of AI engineers have backgrounds 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, you can develop all the necessary capabilities on your own by working on engaging AI projects and gaining first-hand knowledge of what an artificial intelligence engineer’s job entails.

In disciplines such as computer science and statistics, a quantitative degree is beneficial but not a requirement. If a person learns all of the above machine learning tools and technologies and has good statistical and coding abilities, they can potentially get a job as a self-taught artificial intelligence engineer. All of these Artificial Intelligence talents can be taught to yourself from scratch. We’ll outline the many steps you can take to prepare yourself to become an artificial intelligence engineer in the next section.

This career might be ideal for you if you love programming and have an interest in the topic of machine learning. To become an AI engineer, there is not much competition. The job market is oversaturated with people trying to get into highly competitive fields like software engineering and data science. The barrier to entry is significantly higher for AI engineers, as they must have a skill set that covers software engineering and other data-related positions.

Without the ability to manage data and implement machine learning models, statisticians and data scientists cannot become AI engineers. Without a working knowledge of statistics and deep learning, software developers cannot become AI engineers. Consequently, because fewer people meet the requirements for employment as AI engineers, there is less competition for those jobs.

So what is the average salary for AI engineers? Around US$165K is the average annual compensation for AI engineers in the US. The median wage for a data scientist is around US$130K, so this compensation is higher. Moreover, it exceeds 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 position of an AI engineer is still very new in the data sector, it is here to stay. The market urgently needs people with the capabilities needed to develop scalable AI solutions. For the creation of machine learning products, businesses of all sizes are recruiting AI developers. Another advantage of working as an AI engineer is that you can quickly switch to other careers in software engineering, data engineering, data science, and machine learning engineering if you want. Additionally, an AI engineer’s salary is much greater than both a data scientist and a software engineer.