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Believe the hype: Artificial Intelligence (AI) is here to stay.
What is AI? According to the Springer Verlag it’s “the machine simulation of learning and other capabilities of human intelligence.” In 2022, the global AI market size leaped from $93.5 billion to $136.6 billion, and that number is set to skyrocket to $1,811.8 billion by 2030.
But what does this mean for you? It means there’s no better time to take advantage of a wide range of Artificial Intelligence career opportunities. As it stands, there simply aren’t enough qualified candidates for vacant AI positions. As the industry expands, this talent gap is set to grow, presenting engaged candidates with a big opportunity.
Join us as we assess the in-demand roles in AI, explain how much you can expect to earn, and show you how to secure your dream AI job.
The AI Artificial Intelligence Boom and What It Means for Tech Jobs
AI and the future of work are closely intertwined. While the AI industry is expected to generate nearly 100 million jobs by 2025, its impact on the tech sector is far from straightforward.
Which Jobs Will Be Impacted by AI and Which Jobs Will AI Replace?
Thirty-eight percent of people expect AI to completely eliminate jobs at their current workplace in the next three years.
While we’re not anticipating a widespread work apocalypse, it’s inevitable that some jobs will be replaced by AI. The tech roles that are most at risk include 1st Line IT Support, Data Entry, Data Analysis, and more basic types of programming.
Even as AI becomes more widespread, human creativity, critical thinking, and problem-solving skills will continue to be essential for many jobs, meaning there’s little chance of AI replacing human workers entirely.
AI positions are already among the best-paying jobs in technology, which means that rather than ending your career in tech, AI could significantly boost your career prospects.
Will Artificial Intelligence Take Programmers Jobs?
While AI is already being used to write code and develop programs, it’s not doing anything new, rather, it’s simply scanning existing databases for reference. Human programmers will still be required for their creativity and ability to implement more sophisticated lines of code.
Will AI Create More Jobs?
The World Economic Forum has estimated that the jobs that Artificial Intelligence will create will outnumber the jobs it will replace worldwide by as many as 12 million positions. This means tech workers who identify in-demand positions and upskill will have their pick of Artificial Intelligence future jobs.
Awesome AI Job Opportunities Now and in the Future
With over 77% of businesses already using or exploring the use of AI, it will come as no surprise that there are plenty of AI job opportunities. Still, before you start working in AI you first have to consider what’s the right role for you.
Which AI Jobs Are in Demand?
Given the industry's rapid expansion, there are a wide range of roles available. While we can’t list all AI job positions, here are our picks for the top 5 most in-demand roles.
Machine Learning-Engineer
Most AI projects rely heavily on Machine Learning (ML), which means Machine Learning roles are increasingly in demand.
The most important role in Machine Learning is an ML Engineer. ML Engineers are responsible for developing, building, and deploying Machine Learning models and systems. Once completed, these models and systems are able to learn from data and establish continuous feedback loops.
ML Engineers sit at the intersection of software engineering and data science, often working closely with data scientists to design and implement Machine Learning solutions that solve specific business problems.
Data Scientist
By analyzing and interpreting complex data sets which are used to develop the algorithms that power AI, Data Scientists fill a key AI position. Data Scientists are often tasked with building and evaluating predictive models that help forecast future outcomes.
AI-Researcher
AI Researchers fill a challenging Artificial Intelligence role. They are some of the main problem solvers of the team, tasked with finding new and original ways to create systems. The systems they create are often tweaked by Data Scientists to ensure real-world viability.
AI-Engineer
An AI Engineer builds and deploys AI systems and applications. Their role involves designing and implementing Machine Learning algorithms, integrating AI systems with existing applications, and optimizing AI models for performance and scalability.
AI-Architect
AI Architects act as the glue that brings all of the parts of an AI project together, and as such, are a little more involved than Data Scientists. Architects are responsible for planning, designing, and developing ecosystems that facilitate effective communication between different technologies.
Your AI Career Path: Getting Started and Staying Ahead of the Curve
As AI is a fast-evolving industry, the job roles available today may differ from those in the near future. Regardless of the role you’re interested in, there are some key ways to ensure success.
How to Start a Career in Artificial Intelligence
People pursuing Artificial Intelligence career paths come from a variety of tech backgrounds, including developers, data analysts, product managers, telecoms workers, statisticians, and more.
To work in AI, a strong foundation in programming or data analysis is advantageous. Employers typically seek candidates who are adaptable and have the desire to learn new skills.
Artificial Intelligence Skills to Develop Now
Machine Learning
Machine Learning is one of the most sought-after skills in the AI job market. It involves training machines to exhibit intelligence and respond appropriately to real-time stimuli.
To get a job in Machine Learning, proficiency in ML algorithms, frameworks, and techniques such as deep learning, reinforcement learning, and neural networks is essential.
Data Analysis
Among the skills needed for Artificial Intelligence jobs, proficiency in data analysis numbers high. Candidates who can use manipulation tools like SQL, Pandas, and NumPy are highly desirable.
Programming
Having knowledge of programming languages can stand candidates in good stead when applying for AI positions.
- Python: One of the most widely used languages in the world, professionals use Python for deep learning, neural networks, data mining, and data visualization.
- Java: Java is commonly used for AI-related tasks like genetic programming, procedural programming, and intelligence programming.
- R: Often used in Machine Learning, R is popular for AI-related tasks involving numerical analysis, statistical computations, and neural networks.
- C++: C++’s flexibility makes it a useful AI tool for procedural programming and the manipulation of hardware resources.
- .Net: Microsoft’s software development platform contains a wide range of tools and libraries that be used to build, train and deploy machine learning models.
Employers also look for candidates who have experience with relevant libraries and frameworks like TensorFlow, PyTorch, and Scikit-learn.
AI Specialist Skills
There are numerous areas of specialization within the field of AI, but a specialist AI skills list might include: Deep Learning, Neural Network Architecture, Signal Processing techniques, Shell Scripting, and Cluster Analysis.
Stay Ahead of the Curve and Future-Proof Your Tech Career
When asked about the most significant challenge of investing in AI, 56% of executives responded that “staff not having the necessary skills” was the main issue. While this is a valid concern for business owners, it presents motivated candidates with a real opportunity.
That doesn’t mean AI is an easy industry to work in. Artificial Intelligence is constantly evolving, meaning what was accepted as fact yesterday might not be true today. To stay up-to-date with the latest advancements and keep track of how new algorithms function, it's crucial to remain informed. Some effective strategies for keeping on top of AI developments include:
- Online Courses: Platforms like Codeacademy, Udemy, edX, and Coursera offer great courses that can help you get up to speed on the latest tech and best practices.
- Bootcamps: AI bootcamps are a great way to improve your AI skills without committing to a longer program.
- Conferences: Attending industry events and networking can help you stay up-to-date with the latest advancements in AI.
- Certification Programs: These programs are often informative, but be cautious— with how fast the industry is moving there’s a chance a program will already be outdated by the time it’s published.
Why AI Is a Great Career
By 2030, the global GDP will grow by $15.7 trillion thanks to Artificial Intelligence. This growth, combined with the current talent gap and skills shortage, means there’s no better time to start working in AI.
Employment in such a rapidly expanding industry often brings with it diverse growth opportunities, schedule and role flexibility, and competitive salaries.
Artificial Intelligence Salary: How Much Will You Earn?
Due to a shortage of skilled workers, the Artificial Intelligence job market has become a candidate-driven market. This means you have the leverage to negotiate for a highly competitive salary.
How Much Does a Machine Learning Engineer Earn?
The average salary for a Machine Learning Engineer in Austria is between 45.000€ and 80.000€.*.
How Much Does an Data Scientist Earn?
A Data Scientist salary typically comes in between 50.000€ and 90.000€.
How to Land Your Dream Job in AI
Bootcamps or Hackathons
These events can help you quickly develop the necessary practical skills for a top AI role. They present a great opportunity to network, and may even result in immediate employment opportunities.
Training Acadamies
Training academies provide a comprehensive curriculum and real-world projects to ensure your AI skills are up to scratch. With expert instructors, industry connections, and certifications, training academies can give you a much-needed boost when looking for your dream job in AI.
Professional Organizations
Professional AI organizations organize events that serve as excellent networking platforms. What’s more, these organizations often maintain job boards that feature listings from reputable employers.
Social Media
Social media websites like LinkedIn help you network with AI industry professionals. By following relevant companies online, you can keep track of AI developments and potential job openings.
Recruitment Specialists
If all of the above sounds like a lot of work, don’t worry, we can help. Michael Page is the AI recruitment expert with an extensive global database of leading tech employers. Tell us about your preferences, and we’ll help you find your perfect AI job within days.
Michael Page provides consistent support, keeping you up-to-date with the latest AI skills and expectations and helping you plan your career to ensure it’s future-proof.
A Career in AI Sets You up for the Future
The AI market is projected to increase in value by a staggering 1226% before 2030. By getting ahead of the curve now, you’ll soon be in the perfect position to take your pick of top AI jobs.
Take control of your future today and let us help you find the perfect AI role. Don't wait for opportunities to come to you — take advantage of our expertise and vast network of industry contacts to accelerate your career in the exciting and ever-expanding field of AI.
