Artificial intelligence (AI) is a powerful force that changes our world every day. AI is not just a disruptive technology, it is revolutionizing our society in ways that we have not experienced since the introduction of the Internet.
According to Goldman Sachs, AI could replace 300 million jobs worth of jobs, forcing a new generation of workers to learn new skills and switch careers.
Meanwhile, AI is poised for growth as an industry that grows 1,300% by 2030, creating millions of new jobs and tasks. This means that many companies are looking for skilled AI-focused professionals, making it a wise career choice.
As the number of available AI jobs continues to grow by day, you may be wondering which jobs are most suited to you (and how to land it). Below is an overview of the most attractive (and highly paid) careers in the AI world, as well as some tips on how to secure a position in this field.
Things you need to know about the AI industry
AI is transforming all kinds of industries, from finance and retail to healthcare, in different ways. While certain technical skills are necessary to excel in a variety of jobs in AI, there are a few things you need to know before considering your career in any of these fields.
- Knowing ethical responsibility: Today's AI models could reconstruct tomorrow's society for better (or worse). It should be the duty of all professionals working in this industry to develop a fair, transparent, and impartial model by adhering to ethical standards.
- Protecting your data privacy: AI requires a huge amount of data for training, but it is important that this data is processed safely and responsibly, especially when it contains sensitive or personal information.
- Stay flexible thinking: Because AI is an early stage technology, the work of AI is constantly changing. Be prepared to switch carriers or potentially move later.
Work with AI to consider in the next step in your career
From data handling to programming robots, many exciting AI jobs are available in today's workplace market. This is an overview of the most popular roles, what they entail, and median salary in the US (according to Glassdoor).
AI Engineer
AI engineers develop the tools, software and processes needed to apply AI in the real world. They must be experts in data science, programming, and software development as they need to turn on AI, train these algorithms on data, and program algorithms that develop models that will be transformed into applications and tools. AI Engineers are one of the highest paying jobs for AI.
Machine Learning (ML) Engineer
Machine Learning Engineers (ML) develop and improve ML models to help AI execute and “think” in human-like patterns. They specialize in enhancing AI systems by improving and tweaking algorithms that support their ability to learn, self-improve and predict from large data sets.
Data Engineer
Data engineers are responsible for storing and maintaining data. Their role is to build and manage the data storage infrastructure where the data used to train AI is collected, curated and processed.
Software Engineer
Software Engineer (also known as Software Developer) Programs, Development, Test Tools, Applications, and Software. In the AI industry, we create AI-powered products that meet the needs of our customers, including customer service chatbots, business intelligence forecasting tools, and marketing analytics platforms.
Natural Language Processing (NLP) Engineer
Natural Language Processing (NLP) engineers are highly specialized experts who enable AI to recognize and understand human language. For example, AI may help you understand voice commands (such as those used by Siri and Alexa), read online documentation, and create models that will help you generate subtitles for videos and movies.
Robotics Engineer
Robotics engineers work at the intersection of AI and Robotics to develop automated systems that can perform labor-intensive tasks. These engineers need to combine knowledge of electrical and mechanical engineering with advanced computer science. Modern robotics engineers can employ AI to provide robots with additional capabilities, such as the ability to interact with humans, behave autonomously, and perceive their surroundings through sensors.
Deep Learning Engineer
Deep Learning Engineers specialize in the development and optimization of artificial neural networks. Their job is to design, train and improve deep learning models to perform tasks such as classification, prediction, and pattern recognition with high accuracy. It employs advanced techniques such as NLP, image recognition, and transfer learning to enhance the ability of models to learn from large datasets and generalize from examples.
Computer Vision Engineer
Computer vision engineers develop programs that allow machines to “see” and “display” and interpret images and other forms of visual information. For example, you can build an application that processes data from self-driving car sensors and interpret it in the same way as how human drivers do it.
Business Intelligence (BI) Developer
Business Intelligence (BI) developers create and manage dashboards, reports, and data visualization tools used in the business interface. Use AI in BI solutions to store, analyze and view data within your organization.
Data Scientist
Data scientists analyze and process raw data and transform it into actionable strategies, predictive models, and de facto insights. They act as researchers and researchers to understand the collected and stored data. This role includes identifying patterns, recognizing problems and providing data-driven solutions.
AI Product Manager
AI Product Manager oversees the development and deployment of AI products. They coordinate with all team members working on the project to ensure that the AI solution ultimately meets the needs of your customer base. AI Project Manager is one of the top AI jobs.
AI Ethics Specialist
AI ethics experts ensure that AI systems are developed in a transparent, fair and fair way. They develop guidelines and ethical frameworks to assess the ethical risks and moral implications of products. These professionals often work as independent consultants or as part of a consulting company.
How to get a job with AI
With the booming industry and attractive pay, a career in AI is no surprise. However, working in the AI industry is hoping to meet certain levels of education, adapt to new trends, and learn new skills when needed.
This is what you need:
Get relevant degree
Most jobs dealing with AI require a bachelor's degree in mathematics, computer science, engineering, or statistics. Some more complex or professional occupations may require advanced degrees, such as doctoral degrees.
At Intuit, we believe in lifelong learning. Obtaining an accreditation or degree from an accredited institution will help to make your profile more balanced and we recommend that employees enroll in specialized courses to acquire advanced skills.
Build AI skills
A practical data experience is a must-have skill for interacting with AI. Analytical skills to collect, curate and analyze large datasets are also a requirement for many jobs in this field.
Building additional skills in statistics and programming is especially useful if you are looking for a career as an engineer. It's also a bonus that you know how to code in various languages, especially Python, R, and Java.
Get entry-level skills
A surefire way to kickstart your career is to acquire practical, entry-level skills by supporting more experienced professionals. Common examples include roles such as research assistants, junior data analysts, and AI prompters.
These positions teach you how to process data, study critical information, and build effective prompts to train and evaluate AI models.
Industry that generally employs the role of AI
AI's work is not limited to the world of technology and software development. AI experts are required by a variety of industries experiencing the benefits of this disruptive technology.
- finance: AI is used for fraud detection, risk management, and sentiment analysis. NLP experts are highly sought after to help AI understand complex documents and improve customer communication.
- health care: AI applies to personalized care, diagnosis and patient monitoring. Professionals with degrees in medicine, biology, pharmacy and data analysis skills can find opportunities here.
- Manufactured: Advances in AI include robotics, automation, computer vision sensors and digital twins. The sector is in high demand for robotics and automation professionals.
- Oil and Gas: AI can optimize refineries and improve efficiency and power. Experts in this field combine knowledge of electrical and mechanical engineering with advanced computer science.
Explore AI jobs with Intuit
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