5 Hottest Artificial Intelligence Jobs Right NowBIG Data

It’s not surprising that in this day and age, artificial intelligence jobs are some of the most sought-after positions on the market.

The chance to work with exciting technology that’s becoming increasingly important, collaborate with top-level engineers and be an employee on the most avant-garde companies around makes a career in artificial intelligence an excellent choice for an ambitious young graduate. Not to mention the fact that tech companies are paying big money for the right kind of candidate.

The AI sector currently offers all kinds of exciting opportunities. Let’s take a look at some of the hottest AI jobs out there.

The Five Most Popular Artificial Intelligence Jobs

1. Artificial Intelligence Engineer

Artificial intelligence engineers are among the most sought-after AI positions currently on the market. The salary range reflects that. As an AI engineer, you can expect to earn around $170,000.

But what does this particular artificial intelligence job involve? AI and machine learning engineers are basically in charge of designing, building, and testing AI models. They also maintain the existing infrastructure. AI engineers are born problem-solver. They master both traditional software development and machine learning implementation.

If you’re interested in this artificial intelligence job, it’s a good idea to have a strong background in programming languages such as Python, Java, and Scala. Additionally, masters in applied research and data science, good working knowledge of agile development practices, and experience in applied research and data science are advantages, too. A computer science, mathematics, or Ph.D. or master’s degree will help your CV rise to the top of the pile.
Artificial Intelligence EngineerPhoto by Satendra Kashyap on TechNews

2. Artificial Intelligence Scientist

Artificial Intelligence scientists are highly-skilled professionals who master several different fields related to AI. These include machine learning and deep learning, computational statistics, and applied mathematics. To launch a career as an AI scientist, a master’s degree or Ph.D. in computer science will serve you well. You will also need extensive knowledge of NLP, reinforcement learning, computer perception, and graphical models.

AI scientists are above all applied scientists. They have deep knowledge of their subject area. Moreover, they can also implement that knowledge and transform it into products, services, and strategies for the companies where they work.

Beyond their technical knowledge, scientists need to possess certain personality traits that make them ideal for this particularly esteemed artificial intelligence job. These include the ability to acquire and transmit new skills as well as excellent self-management competencies. AI scientists can command salaries of $83K on average.

 3. Artificial Intelligence Analyst

According to recent research, AI analyst is the fastest growing artificial intelligence job role in the United States today. The reason for this is the omnipresence of AI systems in our day-to-day working lives which include digital processes, logistics, project management, and retail. It means that businesses require skilled individuals to keep on top of everything. 

Artificial intelligence systems process and generate data in huge amounts. That data is precious to businesses – on condition of being able to interpret it correctly. The role of artificial intelligence analysts in this day and age is to deliver accurate real-time reports based on intelligence gathered by those systems and therefore enable them to maximize ROI. 

In a world in which AI and machine learning play an increasingly important role, it’s somewhat reassuring that there should have human operators to evaluate the data provided by those systems. AI helps companies to make smarter business decisions. However, highly-skilled professionals are the key to ensuring that data is used to draw the right conclusions.

Artificial Intelligence Analyst

Photo by Robert Anderson on Centripetal

4. Hadoop Developer

Hadoop’s popularity is on the rise as more and more businesses need serious big data skills. If you want to upskill and add a hot new competence to your resume, Hadoop is the right way to go.

Hadoop is an open-source framework. It helps to solve problems related to data gluts. Furthermore, it helps companies use data to create solutions and strategies. Hadoop developers and junior Hadoop developers design and work with Hadoop applications. They should possess the following skills: excellent knowledge of Hadoop and its components, good knowledge of back-end programming, excellent problem-solving skills, good coding skills, etc.

According to ZipRecruiter, an entry-level big data Hadoop developer can expect to earn $112,822 on average per year. It makes Hadoop one of the highest-paid jobs in artificial intelligence around. If you’re interested in developing your Hadoop skills, you can start by brushing up your Python and Java. Then move to more specific big data and Hadoop courses such as those offered by the Coursera and edX platforms. 
Hadoop Developer

Photo by Amit Verma on Whizlabs

5. Computer Vision Engineer

Last but not least, “computer vision engineer” is one of the highest paying careers in artificial intelligence around today. The average salary is around $122,506 in the United States. Computer vision, a technology that enables computers to make sense of digital images or video, is a hot topic in the AI field at the moment. The tech is used across a variety of fields, including medicine, the military industry and monitoring, not to mention entertainment, and extended reality applications.

So what does this artificial intelligence job involve? These skilled professionals are familiar with image recognition, machine learning, and segmentation systems. Also, work closely with colleagues to implement new architectures.

To become a computer vision engineer, you will need to possess the following personality traits: logical thinking and reasoning, problem-solving skills, and the ability to work closely with others to resolve complex queries. Added to this, computer vision engineers are most often familiar with linear algebra math libraries and database management software. A degree in computer science or information systems followed by a master’s degree in computer science or computer engineering is often required.
Computer Vision Engineer

Photo by Charlotte Dryden on Meet The Experts Artificial intelligence represents a profound, all-encompassing shift that will not so much affect the way we work as profoundly transform it. Those who are currently looking to move into a new career or gain new skills would do well to look towards AI jobs. This is because artificial intelligence continues to be the most in-demand of all the STEM fields.

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