Artificial Intelligence (AI) has definitely taken over the world. The influx of devices present, the influx applications. AI has several functions, however today we will present the top ten AI occupations. The article includes the top ten in-demand AI professions. (Ranked by salary)
Data Analyst ($64,680 / year)
Today, the major role of a data analyst is to gather data for machine learning models and then use the result to generate usable reports.
Becoming one adequate knowledge in SQL, Python, and other essential languages. Furthermore, every data analyst must be familiar with data visualization solutions such as PowerBI and Tableau, among others.
User Experience Designer, Developer ($76,302 / year)
Works with goods to ensure that they are easy to use and comprehend. They understand how people use technology and how computer scientists may utilize that information to develop more complex software.
User experience (UX) designers are responsible for producing the greatest possible user experience for people when they engage with a digital or physical product.
Business Intelligence Developer ($84,205 / year)
Ideally experienced in BI technologies, data mining, data warehouse design, SQL Integration Services, SQL queries, and SQL Server Reporting Services would be excellent for the role of business intelligence developer.
Business intelligence developers are always having an impact on new industries. Soft skills require a combination of practical problem-solving ability and excellent communication.
Research Scientist ($85,508 / year)
A specialist in applied mathematics, machine learning, deep learning, and computing statistics. Someone who is required to have a degree in computer science or a doctorate in a closely related area, as well as relevant expertise. Researchers, like data scientists, must have a degree in computer science.
Robotics Engineer ($88,881 / year)
Someone who creates, manufactures, and tests robots or robotic systems. When industrial robots initially gained prominence in the 1950s, robotics engineers were likely among the earliest jobs in artificial intelligence.
Robotics engineers design and operate AI-powered robots. For these professions, corporations sometimes need graduate degrees in engineering, computer science, or a similar subject.
Robotics engineers may be needed to have expertise of CAD/CAM, 2D/3D vision systems, the Internet of Things (IoT), machine learning.
Software Engineer ($90,745 / year)
Software developers undertake the majority of the effort in designing software solutions for AI applications.
They must continually remain up to date on the most recent advances in artificial intelligence technology in order to enable data scientists and software architects create and manage different useful applications.
Furthermore, software engineers perform a variety of critical duties such as maintaining APIs, developing code, and quality control, among others.
Data Scientist ($98,384 / year)
A data scientist acquires, evaluates, and discusses data sets. A data scientist deals with very large and complicated databases to solve difficult data problems.
You’ll additionally require to be capable of creating algorithms that allow you to gather and clean such a massive volume of data, readying it for analysis.
Data Engineer and Architect ($110,846 / year)
Develops the tools that allow businesses to interact and collect data. Because this profession is one of the highest on the ladder and requires more stricter facilitation than participation, applicants should already have a Ph.D. in computer science or mathematics.
Machine Learning Engineer ($113,309 / year)
Albeit not essential, knowledge of data science and applied research experience is very advantageous for this role. They are critical since everything else in an AI project revolves around the role of a machine learning engineer.
It is critical that you master many programming languages in addition to AI programming. Programming language skills in Scala, Java, and Python are highly valued.
Software Architect ($131,966 / year)
Software architects develop and maintain technical standards, platforms, and tools. AI software architects do this for AI technologies. They create and manage the AI architecture, organize and implement solutions, choose tools, and ensure that data flows smoothly. AI-driven organizations require software architects to have a bachelor’s degree in computer science, information systems, or software engineering.
