Top 8 Careers in Artificial Intelligence (AI)

Overview

Right from controlling the assembly line to governing data-driven business decisions, Artificial Intelligence (AI) is slated to take over every business function. Hence, experts project it to become the future of the business world.

The capabilities of AI-powered software, applications, and devices continue to contribute to the demand for AI professionals worldwide. In this view, many global corporations are searching for certified AI professionals that can drive the future.

India, too, doesn’t lag in the AI race! In 2019, the AI industry almost doubled its size to reach USD 415 million, from only USD 230 million in 2018. Yet, companies in India continue to face a scarcity of AI professionals in the employment market.

These facts and figures indicate that AI professionals will have enormous employment and growth opportunities in the years to come. Hence, if you are looking forward to choosing AI as your career choice, you’ve come to the right place, as this blog discusses the top eight AI careers.

Top 8 AI Careers

As an AI professional, you deal with automation, robotics, and the application of sophisticated computer software. So, at the outset, you must be a techie!

In terms of academics, you must possess a mathematical intellect that involves an understanding of statistics, calculus, algebra, algorithms, and logic. The knowledge of computer science, robotics, engineering, physics, programming languages, coding, cognitive science theory, etc. is also necessary.

You must also develop written and verbal communication skills to convey the benefits of your AI application and further to graduate yourself to supervisory and leadership positions.

Now that you’ve got an overview of what it takes to become an AI professional, take a look at the top eight most in-demand AI careers in the world.

Data Scientist

One of the top trending AI careers is data scientist. Data Scientists are high-paid professionals, with an exceptional mathematical intellect, and computer science expertise. They are capable of spotting trends in data and are experts at making sense out of a large amount of disorganized data.

The insights that data scientists provide help businesses make informed decisions make educated projections about the business, and in a way, outperform their competitors. These factors contribute to the increasing significance of data scientists in the context of modern-day business.

The skills you require to become a data scientist include programming, ML, linear algebra, and calculus, statistics, data visualization, and many others.

Deep Learning Engineer

Deep learning engineers indulge in developing programming systems that imitate the functions of the human brain through deep learning platforms.

As a deep learning engineer, you develop neural networks that are data structures simulating the structure of a human brain. Deep learning engineers are in high demand across various modern-age applications such as facial recognition, autonomous driving, and robotics.

Algorithm Developer

You must have come across the word algorithms while discussing search engine results, haven’t you? So, what are the algorithms? Algorithms are the computer programs that prioritize Google results.

As an algorithm developer, your job involves researching, writing, and performance testing algorithms. Besides, your job also includes working towards implementing, analyzing, and modifying your algorithm.

To become an algorithm developer, you need a bachelor’s degree in programming, computer science, mathematics, or any stream relating to it. Choosing subjects such as ML, predictive modeling, etc. further augments your skills, and adds weight to your profile.

Computer Vision Engineer

Computer vision engineers are among the third highest-paid AI professionals around the globe! So, what is it that you do as a computer vision engineer? Find it out here.

Computer vision technology is an interdisciplinary field of science. It involves programming computers to achieve a higher level of understanding with the help of videos or digital images.

In other, probably simpler words, computer vision engineering indulges training computers on seeing things around and making sense from what they see.

As a computer vision engineer, you must possess expertise in several programming languages, computer vision, along with an understanding of deep learning.

Natural Language Processing

Language is one of the most significant elements around which most of the popular consumer applications revolve. It includes chatbots, predictive texting on smartphones to virtual assistants, and many others, wherein experts use AI tools to replicate human speech in diverse formats.

As a natural language processor, you leverage your understanding of both languages and technology to develop systems that empower computers to interact with human beings.

Developer Consultant

Developer consultants work as a link between the clients and the software engineers. They communicate with the client and then facilitate expert technical advice and guidance to software engineers.

As a developer consultant, you must possess some years of proven experience and expertise in AI. It also requires a techno-strategic understanding of the AI application and the business as a whole.

Senior Data Scientist

Senior data scientists play a managerial role, wherein they supervise the work of their junior counterparts. Besides, they also work as analysts. As an analyst, their responsibility involves researching, designing, implementing, and deploying full-stack scalable data analytics vision and ML solutions to challenging and complex business concerns.

Director of Data Science

Director of Data Science is a senior position, and you may qualify for it after proving your mettle as both a data scientist and as a leader. As the data science director of your company, you lead the entire data science team comprising junior data scientist, senior data scientists, and data engineers.

You direct the team and work as the chief strategist of the data science vertical. Your responsibilities can also involve managing new data tables that support departmental data collection, data visualization, cross-channel data integration, predictive analytics, etc.

Besides, you also handle a lot of analytical, collaborative, and knowledge-related tasks that aim to enhance departmental efficiency, improve the use of data for business, and many others.

Conclusion

If AI is the future, you must learn the skills that take to become a comprehensive and learned AI professional. So, if you wish to be a part of the exciting future, start preparing for it immediately. Develop the necessary skills, and approach to be the AI expert every company will want to work with.

At CITIS Infotech, we are education technology experts that prepare you for the bigger technology race. We believe in building skills for tomorrow, and leveraging technology to build a brighter, and a more technology-oriented tomorrow.