The 7 Most In-Demand Job Roles In AI Technology

AI, or artificial intelligence, is having an effect on many industries all over the world. In one of its reports, Forbes said that the growth rate of its job roles is more than 70%. This forces tech professionals to guess what those job roles might be, which can help their careers go through the roof.

This growth rate has also helped the AI market find great ways to make money worldwide since it is now possible to understand what users want. Then, the companies would offer hardware-related or software services based on the highlighted specifications.

Do you want to know what those AI jobs are and how much they might pay after a few months or more than two years of experience? There’s nothing wrong with knowing about these roles if it helps you make decisions faster or spot new inventions in a useful way. Now is the time to take a smarter, deeper look at those job roles that help you learn more about the latest technological advances from a business point of view.

job roles in artificial intelligence:

job roles in artificial intelligence

Machine Learning Engineer

Machine Learning Engineer helps with customer insights and risk management and works on other projects that make Machine Learning principles easier to understand from a company’s point of view. Engineers who work with Machine Learning or ML already have great ideas about managing data, which helps them do a good job with all the great data out there.

This is one reason people are interested in neural networks, cloud applications, or the value-added benefits of software development tools like this job role. What else would you want to be able to control in the field of artificial intelligence now that you can use big chunks of data without having to think too much about the timestamps?

Related

How To Become A Machine Learning Engineer: 6 Needed And Dependable Skills,

Engineer in Artificial Intelligence (AI)

An Artificially Intelligent Engineer has a wide range of knowledge and many years of experience, so they know how to solve business problems before they happen. With a BRILLIANT ability to handle today’s AI infrastructure, the person in charge can develop AI algorithms and use and test them. This is necessary to meet the growing needs of users or clients.

Trying to figure out how much the person will make in a year? Several standard surveys show that these professionals with about one or two years of experience earn between 8 and 14 Lakhs per year. So, let’s say you want to make accurate and effective business decisions through correct economic statistics or the use of NLP. In that case, you can now take on this in-demand job role to help your career grow.

Must Read:

How Much Does An AI Engineer Make? What Is An Ai Engineer Job Salary In 2023
Business Intelligence Developer

Business Intelligence Developer, are you wondering if it has anything to do with AI or not? This question is bothering many people who are quick and keen and want to understand a BUSINESS SITUATION well. Yes, this profile can be related to AI because the person in it will use their analytical and BI-centric (i.e., Business Intelligence Centric) skills to improve several business processes.

Yes, the person is familiar with computer programming and other complicated cloud-based systems for which companies such As amazon are willing to pay 14 Lakhs or more per year. You have to show more interest in this profile to get this job, which is in high demand and won’t go away any time soon.

Research Scientist

Research Scientists and people who are PERFORMANCE-EXCLUSIVE can be put in the same bucket. Why? Through relevance feedback and benchmarked graphical models, they can turn the tables at any time and in any place. This won’t change until the next generation surpasses them.

Also, the salaries these companies offer to these people are higher than the average range of around 6–10 LPA for someone with about a year of experience. Want to know how to send your token of love anonymously in this job role? You have to do this, but before you do, you should learn more about Deep Learning, Natural Language Processing, Advanced-Level Statistics, computer perception, cloud services, and many other topics.

Data Scientist

Data scientists are the kings or VICE-PRESIDENTS of the field of artificial intelligence. They both care a lot about finding good data patterns that will hopefully positively affect both the past and the present.

Also, they have the excellent communication skills needed to interact with business outcomes focused on making money. Aside from all this, they are comfortable with SQL, Scala, or Python, formal or informal programming languages, and can simplify the AI tasks their senior managers or team leaders give them.

Big Data Engineer

Big Data Engineers know how to maintain and build big data architectures that can get good results for the business. There is a rumor on the market right now that these engineers are getting great salaries and perks. The most obvious reason is that languages like Java, SQL, Hadoop, and Kafka let them handle complex and obvious customer needs.

And if you ask about their pay, you’ll find that they make between 7 and 10 lakhs per year in India. After working for a few years, it won’t be hard to make more than the range given because they’ll have real-world skills like Data Structures, R, Python, Distributed Systems, and Information Pipelines.

Robotics Scientist

On the other hand, robotic scientists are rising to the top of the list of AI jobs. This is because the person in question not only designs OSs (Operating Systems) but also tests the cost-functions of building mechanical devices called ROBOTS.

Scientists aware of automation ensure that robots do their jobs reliably, safely, and cost-effectively. I want to know if you can change to the same! Yes, but you should first have a Bachelor’s degree in Robotics, Information Science Engineering, or a similar field.