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 due to 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 employment alternatives to think about such as a self-taught AI engineer. This article will walk you through the relatively new position of AI Engineer.
A fast 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 seeking qualified AI software engineers and research engineers with competitive pay. There has never been a better moment to sharpen your artificial intelligence abilities if you’re a newcomer to the field or a software engineer wishing to change careers. 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 would collaborate in various teams to create and implement some people. Many AI-driven businesses are beginning to understand that these professions are closely related, nevertheless. There are people who are adept at all three who can develop, scale, and apply AI models.
People with all of these skill sets are rather uncommon and are very valuable to corporations. One of the main causes of the enormous demand for AI engineers is that, as seen by the rise 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 objectives of their businesses, AI experts use deep neural networks and machine learning algorithms to get useful business insights. Engineers in artificial intelligence move between software development and machine learning algorithm implementation as issue solutions.
Engineers in AI might come from a wide range of backgrounds. An AI engineer possesses a very unique set of talents from other professionals. You should have good technical and programming expertise in addition to being proficient at 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 may develop all the necessary abilities on your own by working on engaging AI projects and gaining first-hand knowledge of what an artificial intelligence engineer’s job entail.
In disciplines like computer science and statistics, having a quantitative degree is advantageous but not required. If a person learns all the aforementioned machine learning tools and technologies and possesses good statistical and coding abilities, they may potentially find employment as a self-taught artificial intelligence engineer. All these Artificial Intelligence talents may be taught to oneself from the beginning. We’ll outline the many measures you may take to prepare yourself to become an artificial intelligence engineer in the next section.
This career path may be ideal for you if you like programming and have an interest in the subject of machine learning. To become an AI engineer, there is not much competition. The employment market is oversaturated with people trying to get into highly competitive fields like software engineering and data science. The entrance hurdle is significantly higher for AI engineers since they must possess 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 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 as a result, there is less competition for those positions.
So, what is the average pay 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 about US$130K, thus this remuneration is greater. Additionally, it exceeds the average annual salary of a software developer, which is about 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 is in desperate need of people with the abilities needed to develop scalable AI solutions. For the creation of machine learning products, businesses of all sizes recruit AI developers. Another benefit of working as an AI engineer is that, if you so want, you may quickly switch over to other careers in software engineering, data engineering, data science, and machine learning engineering. Additionally, an AI engineer’s salary is far greater than both a data scientist’s and that of a software engineer.
