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Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. It has been an integral part of SAS software for years. Theartificial intelligence engineer has become one of the most sought-after professional profiles on the job market today.
What is an artificial intelligence engineer?
L’artificial intelligence coupled with robotics is transforming businesses. The robots do 70% of the work and carry up to 500 kilograms more than their weight on the warehouse floor. Artificial intelligence is applied in :
- logistics processes;
- the creation of autonomous cars;
- computer vision ;
- music generation;
- natural language processing.
The artificial intelligence engineer carries out programming actions based on artificial programming techniques. He/she works on the basis of intelligent agents. These are computer systems located in an environment and capable of performing autonomous actions in this environment to achieve their objectives.
Many dynamic elements interact and learn from each other or their habitat. This allows them to imitate the behavior of machines and make decisions according to the mission for which they have been programmed.
What are the missions of the artificial intelligence engineer?
The specific focus of an AI engineer ‘s work can vary greatly from company to company. However, the objective remains the same: to design and build systems that can solve problems autonomously.
In this regard, existing resources and technologies are increasingly numerous and accessible. For this reason, an AI expert must stay current and make continuous learning one of their primary responsibilities.
Basically, an AI expert is responsible for creating the most diverse artificial objects, i.e. designing and solving problems. An AI expert must have certain qualifications. Depending on the field, however, he must specialize in certain segments, such as health or industry.
The profile of this professional tends to like electronic devices and be curious about machines. An AI expert covers many market sectors. It is therefore a highly sought-after profile.
Why become an artificial intelligence engineer?
Career opportunities in the AI field have grown exponentially. AI architects work closely with clients to ensure system integration and constructive business services. They also create and maintain the overall architecture.
AI is in a growth phase and earning a degree in this field guarantees bright career prospects. This is one of the main reasons why you should study artificial intelligence.
Artificial intelligence engineering graduates will work collaboratively in multidisciplinary teams. They will participate in the analysis, design, implementation, supervision and management of intelligent systems.
They will apply algorithms in areas such as machine learning, automatic natural language processing, computer vision and bio-inspired models. These professionals will practice their profession with leadership, ethics and social responsibility.
How much does an Artificial Intelligence Engineer earn?
The salary of AI engineers has grown exponentially in recent years. An AI expert can earn up to 60,000 euros per year.
Similarly, according to some job search sites, the average salary of an artificial intelligence engineer ranges from 35,000 to 70,000 euros per year. The future prospects are quite promising for artificial intelligence engineers.
What studies are required to become an Artificial Intelligence Engineer?
Although this is a very attractive profession, it is important to have the right training to do it. It is not enough to have knowledge of computers or programming. It is therefore advisable to take a master’s degree in AI. This degree provides students with the necessary training to meet the various obstacles they will encounter in this technological sector.
An artificial intelligence specialist typically has an undergraduate background in computer science or software engineering. The AI field has a number of competitive challenges designed to accelerate innovation. It also provides an excellent opportunity to demonstrate expertise in the field, without the need for specific certifications.
The most successful IT professionals often share common traits that help them advance their careers. Working with artificial intelligence requires a methodical thought process and the ability to solve problems with effective solutions.
Technological innovations that result in next-generation programs that allow companies to remain competitive must also be anticipated. In addition, AI experts need technical skills to design, support, and repair technologies and software.