Pandemic Breathe Life into AI Industry

Since the start of 2020, the coronavirus pandemic has damaged much of the economy, business and our way of life as we know it. Job losses, bankruptcies and endless worries have plagued our lives even now in the present year of 2022. 

However, the pandemic has caused a silver lining for some industries, most notably in the line of Artificial Intelligence. According to LinkedIn, the hiring growth for these jobs has increased by 32% since 2019. More and more companies are recognising its potential and benefits as the race to adopt the technology has been hotter than ever. 

Most of the jobs offered within the industry have come with a median yearly salary of about $ $95,000 USD in the United States, according to a list created by Indeed. Here are the 10 most in-demand AI jobs in the world today.

 

Top 10 In-Demand Jobs in the Artificial Intelligence (AI) & Machine Learning (ML):

  1. Data Scientist

    Median yearly salary in the U.S.: $110,000 USD

    Data science has emerged as one of the most sought-after fields in the 21st-century job market. Not only is the demand for data scientists booming, but the kinds of job positions are also abundant. As analytics take center stage in decision-making, more and more businesses are hiring data scientists. Since it is a relatively less saturated area with a moderate supply of talent, opportunities requiring diverse skill-sets and competencies are available today.

  2. Senior Software Engineer

    Median yearly salary in the U.S.: $120,000 USD

    One of the most commonly opted engineering streams by the students in Software Engineering. The primary job of a software engineer is to write a software program or modify existing software programs in order to improve the program and make it more efficient than before. You can also work in almost any industry because they all use software to some extent. For instance, some software engineers spend their days’ building or rebuilding computer information systems. Others use their talents to create web pages or enhance a company’s network security. It’s up to you which direction you want to take.

  3. Machine Learning Engineer

    Median yearly salary in the U.S.: $125,000Machine Learning Engineer Build a Model

    Machine learning engineer is a fairly new job title, but it’s already got some people’s attention. Machine learning engineers ensure that AI gathers the right data and uses what they’ve gathered to become “smarter”. Engineers use deep learning libraries and toolkits to ease out this complex process. Nearly every type of modern business is trying to figure out how to use data effectively. Machine learning engineers help companies act quickly and evolve to meet or exceed their key performance indicator (KPI) targets.

  4. Data Engineer

    Median yearly salary in the U.S.: $122,060

    Data engineers are the people who connect all the pieces of the data ecosystem within a company or institution. While they primarily focus on programming, data engineers are software engineers who specialize in data and data technologies. Data engineers are on the front lines of data strategy so that others don’t need to be. They represent the foundation. In order to build a Skyscraper, you need cement.

  5. Software Engineer

    Median yearly salary in the U.S.: $100,000

    According to Forbes, software engineering employment will increase by 22% by 2029, demonstrating the popularity and growing demand for software specialists. It is expected to increase at the fastest rate of all other professions combined. The urgent need for qualified software workers continues to grow as the demand for innovative software and mobile applications grows.

  6. Software Developer

    Median yearly salary in the U.S.: $95,000

    A software developer is someone who has the creative and technical skills to create software programs. The software they develop allows users to perform certain tasks on a computer device, such as playing a game or entering information into a database. Software developers spend most of their days developing and testing software as well as upgrading existing applications, performing quality assurance on software and creating documentation for software systems. Software Development is a booming industry and offers a career path with endless progression, opportunities and, depending on how good you are, decent pay ensured.

  7. Software Architect

    Median yearly salary in the U.S.: $135,107

    A Software Architect is an IT professional that makes crucial high-level software design choices and works on various aspects such as determining required technologies for the development team, carrying out technical standards, etc. to build worthwhile software systems or solutions as per the needs of the client.

  8. Senior Data Scientist

    Median yearly salary in the U.S.: $127,500

    In this field, jumping up to seniority means a huge salary bump which is why we mention it twice!

  9. Full Stack Developer

    Median yearly salary in the U.S.: $108,730Software developer coding a software

    A FULL-STACK DEVELOPER designs and builds dynamic data-driven websites and applications using a rich ensemble of technologies, techniques and workflows that serve both the end user and the back-end infrastructure. Full-stack development is a less specialized job, but it means being familiar with every step of web development. Still, being a full-stack developer has enormous advantages as it makes you highly flexible and able to work on different parts of a project as needed.

  10. Principal Software Engineer

    Median yearly salary in the U.S.: $155,000

    A principal software engineer is a management and technical professional who develops and tests software to help achieve company goals. Principal software engineers work to develop teams while overseeing the technical aspects of computer software projects. Think of it as a step up from a software engineer.

 

How to Start a Career in Artificial Intelligence

You’ll need a combination of education and experience to have a successful career in the AI industry. Those who choose this career path typically hold a bachelor or master’s degree in computer science, software engineering or other related field. However, it’s also possible to start from scratch with our AI apprenticeship programme where you get a job guaranteed offer upon completion. If you’re interested in diving in the world of AI, you could also explore through our courses as well. 

 

Reference:

CNBC | Money Inc