AI IS RESHAPING THE JOB MARKET. LET’S DEEP DIVE INTO THE OPPORTUNITIES IT CARRIES.
Let’s discover some in-demand jobs amid the AI boom that it is worth consider pursuing a career in
The topic of artificial intelligence (AI) and work is becoming increasingly debated. The discussion about the contrast and convergence between algorithmic intelligence and human intelligence is now commonplace, both within and outside companies.
The outlook is bright for artificial intelligence jobs, which is good news for anyone working in the growing field of AI. In fact, machine learning engineers and data scientists have made the top of the list on Indeed’s Best Jobs for the past few years.
The scope and the extent of the revolution AI is bringing up is comparable to that of the agricultural and industrial revolutions, but with a fundamental difference: its speed of diffusion. Consequently, both individuals and the job market must adapt to harness AI as an ally that enables the improvement of many activities.
Although it is difficult to predict whether there will be a future where direct farmers “converse” with plants through innovative simultaneous translation systems between human language and plant language, we cannot help but reflect on what was imagined by the Hal 900 supercomputer on the spaceship Discovery in Stanley Kubrick’s film “2001: A Space Odyssey.”
Man VS Machine: a timeless dispute
As technology advances at a frantic pace, often too fast to be immediately assimilated by individuals, organizations, and even society as a whole, managing the enormous amount of information is exceeding people’s capacity to ensure the necessary productivity.
To enable a new way of working and improve the relationship between businesses and consumers, artificial intelligence is employed in various configurations, ranging from predictive models to generative models.
The outlook in the US
According to the US Bureau of Labor Statistics (BLS), that groups careers in artificial intelligence with computer and information research scientists – the employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031. This is much faster than average.
With the rise of ChatGPT during the recent AI boom, you may want to consider a job in artificial intelligence. But what jobs are they? How do you land a job in this field? Let us guide you through the jobs you can get in AI, and the skills and education you’ll need to pursue them.
The outlook in Italy
According to Microsoft’s “Work Trend Index 2023” report, 74% of Italian managers believe their employees will need to acquire new skills to handle further developments in AI. However, currently, only 27% of them are willing to utilize this resource to support their workforce.
While a considerable portion of workers (42%) fears being replaced by ChatGpt and similar tools, 62% of Italian professionals, on the other hand, are in favor of delegating as many tasks as possible to technology. This process begins with administrative and analytical activities (mentioned in two out of three cases) and extends to more creative tasks.
The collaboration between humanity and AI is becoming increasingly important, and the ability to work effectively with algorithms will become an essential skill for every worker.
Recent studies confirm that many of the professions in demand in 2030 have not yet been invented – yet, some are already here.
AI and Work: new emerging professions
A start-up specializing in deep learning and conversational AI solutions imagines some of the jobs that will emerge in the coming months and years.For instance, let’s talk about roles like the “conversation designer” or the “prompt designer.” These specialists act as a bridge between machine learning and human language.
The former is responsible for designing the flow and content of conversations between users and chatbots, while the latter becomes indispensable in guiding generative AI models through targeted questions to achieve desired results, which can be text, images, or conversations. Parallelly, there will be “data labelers,” professionals specialized in labeling data to help algorithms recognize images, voice systems, and process textual content. Furthermore, cross-functional figures like “AI Ethicists” will be crucial to evaluate the impact of technology based on philosophical principles and ensure responsible and unbiased development of artificial intelligence.
We are experiencing a revolution that is already underway. The launch of ChatGpt last October demonstrated the significant impact that simple interaction with AI can have on the general public. Millions of users who have used this technology confirm the scale of a revolution that will pervasively influence all professions.
The future that awaits us is extremely vast, and its boundaries are difficult to define.
6 Artificial Intelligence jobs to be considered in 2023
Here are some jobs demanded by the AI boom in which to consider pursuing a career.
1. AI Engineer
Artificial intelligence engineers are professionals who use artificial intelligence and machine learning techniques to develop applications and systems that help organizations become more efficient. Artificial intelligence engineering focuses on developing the tools, systems, and processes that enable AI to be applied to real-world problems. Algorithms are “trained” by data, which helps them learn and perform better. AI engineers can help reduce costs, increase productivity and profits, and make business recommendations.
2. Machine Learning engineer
Machine learning engineers are professionals who research, build, and design the artificial intelligence responsible for machine learning. They maintain and improve existing AI systems. A machine learning engineer often serves as a liaison with other data science team members, collaborating with data scientists who develop models for building AI systems. They carry out experiments and tests, perform statistical analysis and develop machine learning systems.
3. Data Engineer
Data engineers build systems that collect, manage, and convert raw data into actionable information for interpretation by data scientists, business analysts, and other data professionals. They make data accessible so that organizations can use it to evaluate and optimize their performance. Data engineering is a vast field with applications in almost every industry.
4. Robotic engineer
Robotics engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medical. A robotics engineer designs new products or assembles prototypes for testing. Some may work on-site at a manufacturing plant supervising robots as they are produced, while others monitor their real-world performance. Robotic engineering combines elements of mechanical and electrical engineering with computer science.
5. Computer engineer
Software engineers, sometimes called developers, create computer software and applications. They use programming languages, platforms and architectures to develop everything from a computer game to network control systems. A software engineer can also test, improve, and maintain software created by other engineers. If you are an analytical thinker who enjoys solving problems and improving digital systems, you may find this career rewarding.
6. Data Scientists
Data scientists determine what questions an organization or team should ask and help them figure out how to answer those questions using data. They often develop predictive models used to theorize and predict patterns and outcomes. A data scientist might use machine learning techniques to improve the quality of data or product offerings.
How to get a job in AI
When it comes to getting an AI job, you’ll want to consider the requirements and skills associated with a specific job role. These are the common ways to get a job in AI, but keep in mind that your path will vary depending on your job type, level, and industry.
Get a degree
Expect most jobs in AI to require an undergraduate or graduate degree. For some entry-level positions, you may only need an associate’s degree or no degree at all, but that’s not common. Most people who work in artificial intelligence get bachelor’s degrees in computer science, mathematics, or a related field.
Build skills and get certified
If you already have an undergraduate degree in an AI-related field, consider enrolling in courses to learn technical skills. Even if you don’t have a college degree, certifications show potential employers that you take your career goals seriously and invest in your skills.
Start from the lowest positions
Once you feel confident in your level of education, start researching and applying for jobs. Many entry-level AI jobs such as software engineer or developer will state “entry-level” or “junior” in the job description. Those requiring less than three years of experience are typically fair game.
If you’re having trouble in your job search, try applying for an internship or starting a freelance project or hackathon to hone your skills. You will receive feedback on your work and develop relationships that could benefit you in the future.
Want to know more about the opportunities AI puts on your plate? Visit Maker Faire Rome – The European Edition from 20 to 22 October 2023 and learn from the people who are already shaping the world through it.
sources: Coursera I US BLS I Microsoft
Cover image: Coursera
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