How much does an AI expert earn?
Over the last decade, Artificial Intelligence (AI) has emerged as one of the most promising and in-demand technology disciplines in the job market. Companies across all industries are looking to implement AI solutions to optimise their operations, improve customer experience and accelerate innovation. This high demand for AI experts has generated a large supply of jobs and competitive salaries, making it one of the highest-paying professions with the highest growth prospects in the future.
But how much can AI experts earn? And what are the career opportunities for those who specialise in this technological field?
Artificial intelligence in today's job market
The rise of AI has boosted the demand for experts who have mastered everything from machine learning algorithms to deep neural networks. Such profiles are increasingly needed in industries as varied as technology, finance, healthcare and automotive. According to recent studies, the field of AI is among the five fastest-growing fields of employment in the world, and AI experts have the opportunity to work in high-impact sectors and on groundbreaking projects.
Moreover, the versatility of AI has enabled the creation of new jobs, some of which did not exist just five years ago. These include machine learning engineers, data scientists, AI architects and AI ethicists. These roles require a mix of technical and analytical skills, as well as a deep understanding of the ethics and social implications of AI.
How much can AI experts earn?
The salary of an AI expert can vary depending on a number of factors, such as level of experience, geographic location, type of company and specific role. Below are some average salary ranges for different levels of AI expertise :
1. Junior AI expert
Average salary: between €30,000 and €50,000 per year
This category includes profiles that have recently started their AI career or those with between one and three years of work experience. They are usually in charge of basic support and development tasks, assisting in the implementation of algorithms and working under the supervision of more experienced professionals.
2. Mid-level expert
Average salary: between €50,000 and €80,000 per year
Experts with several years of experience and advanced AI knowledge reach this level. They are often involved in developing machine learning models, managing complex databases, and analysing data patterns. This level requires a solid understanding of the mathematical and statistical foundations of AI, as well as programming experience.
3. Senior AI expert
Average salary: between €80,000 and €120,000 per year
This range corresponds to profiles with more than five years of AI experience and responsible roles, including supervising teams or complex projects. Their tasks include optimising algorithms, designing neural network architectures and making strategic decisions to implement AI in the company.
4. Specialised AI and data scientist
Average salary: between €100,000 and €140,000 per year
Data scientists with a specialisation in AI focus on data analysis and the application of advanced machine learning techniques. Their role is crucial for data-intensive companies such as technology, finance and telecommunications.
5. Chief AI Officer or Chief AI Officer (CAIO)
Average salary: from €150,000 per year upwards
This is one of the most senior positions in AI and is reserved for professionals with extensive experience in AI leadership and strategy. CAIOs are responsible for defining the company's AI vision, leading teams and developing policies and procedures for the responsible use of artificial intelligence.
What can I study if I want to work in Artificial Intelligence?
If you are looking to work as an expert in Artificial Intelligence, you can train through university courses, degrees and master's programmes
At UDIT, University of Design, Innovation and Technology, we offer the Degree in Data Science and Artificial Intelligence. A degree with which you will be able to create innovative solutions with one of the most demanded technologies, artificial intelligence.
During four years you will learn to evaluate and manage large volumes of data for predictive analysis and decision-making in complex environments, and to create innovative solutions in different environments using Artificial Intelligence.
If, on the other hand, you want to deepen or reorient your career towards AI, the UDIT Master's in Artificial Intelligence may be the path for you. With this face-to-face and official master's degree, you will learn programming languages for AI, machine learning, mathematics and statistics or deep learning (deep neural networks) among others while you come into contact with the industry and professionals through seminars, masterclasses and workshops.
In the words of Beatriz Celdrán, project manager at Amdocs and alumni of the Master's in AI, she chose this master's degree because" it does not only focus on the technical side, but also trains you in relevant aspects such as the ethics and legality of AI and innovation and entrepreneurship with AI".
Do you want toknow the opinion of the students of the Master's in Artificial Intelligence?
Career opportunities after studying a master's degree in Artificial Intelligence
Machine Learning Engineer
This profile is focused on the creation and training of machine learning models. Key skills for this role include advanced programming (Python, R, Java), data management and knowledge of machine learning algorithms. ML engineers can work in technology companies, finance, and even academic research.
AI architect
They are in charge of designing the technological infrastructure that will support AI models, ensuring that solutions are scalable and efficient. Their work ranges from choosing tools to implementing AI platforms in the cloud, which involves expertise in technologies such as AWS, Azure and Google Cloud.
Data Scientist
Data scientists collect, analyse and transform data into valuable information. In the realm of AI, they are responsible for building models that help businesses make informed decisions. This role requires proficiency in programming, advanced statistics and data modelling.
Natural Language Processing (NLP) Specialist
This is a field of AI focused on the interaction between computers and human language. NLP experts create systems such as virtual assistants, automatic translators and chatbots. For this profile, skills in NLP algorithms as well as in text analysis and programming are necessary.
Robotics Engineer
Robotics is a discipline that combines AI with engineering to design, build and operate autonomous robots. Robotics engineers with a background in AI are responsible for implementing algorithms that enable robots to perform tasks efficiently and autonomously.
👇 Learn about UDIT's People-Centred Robotics Degree.
Career prospects and benefits of a master's degree in AI
High employment opportunities: AI is one of the fastest growing fields, with a high demand for professionals in various industries, from banking and healthcare to logistics and entertainment.
Competitive salaries: As mentioned, salaries in this sector are high due to the demand for specialised skills.
Ability to innovate: AI allows professionals to work on cutting-edge projects that impact the future of technology and society.
Transferable skills: Studying AI provides skills in programming, statistics and data analysis, competencies that are also valuable in other sectors.
Do you want toknow more reasons why you should study a Master in Artificial Intelligence?
Is AI the future of your career?
The artificial intelligence sector offers endless opportunities for those who want to be part of the technological transformation. The possibility of accessing high salaries and working on innovative projects makes studying a Master's degree in AI a highly profitable investment. In addition, AI is a field that requires constant learning, which offers a challenging and challenging career path for those seeking professional growth.
If you are considering taking the plunge and specialising in AI, now is the time to act. At UDIT, our programmes provide you with the technical and practical training you need to excel in this competitive market - explore all the opportunities AI has to offer and become an expert capable of leading the future!
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Master in Artificial Intelligence
Bachelor in Data Science and Artificial Intelligence
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