Focus on AI professions

The attraction to the field of Artificial Intelligence is increasing. Indeed, AI-related professions are in full bloom with 11% growth expected from 2019 to 2029.

Advancing research and progress through AI opens up a world of endless possibilities. According to the professional platform LinkedIn, professions related to Artificial Intelligence or AI are currently growing. In this present file, we will present some job opportunities in AI.

Opportunities in terms of AI professions

Among the great multitude, here are 10 job opportunities in AI to enlighten those who wish to learn or train at the same time.

The engineer in machine learning

This professional works both as software engineering and data scientist. Using Big Data and programming frameworks, the machine learning engineer builds scalable data science models. The latter will easily manage huge masses of data in real time. Those who want to acquire this position must have completed at least three training courses: in software engineering, applied research and data science. In the United States, a machine learning engineer earns about $131,000. Those who work in large companies such as Apple, Meta or Twitter receive more up to 200,000 dollars.

The data scientist

This professional works on data. Depending on the objectives set, the collection, analysis and exploitation of data are part of his daily life. It uses technological tools, processes and algorithms to build knowledge of data and to identify significant patterns. The complexity of the data scientist’s task varies, he may simply be required to detect malfunctions. On the other hand, he can try to predict the future to better anticipate it. Recently, an AI was able to predict crimes in advance with 90% success. This professional must have completed higher education in computing, mathematics, or statistics. The standard data scientist salary is around $105,000. With experience, this figure can go up to $200,000.

The developer of business intelligence

The developer of business intelligence uses actual internal or external data in order to be able to take appropriate decisions. These decisions are made considering the objectives of the company for which he works. Very active in stock exchanges and in commercial enterprises, the BI developer works on cutting-edge cloud technologies. A BI developer must have at least a bachelor’s degree engineering, computer science or any similar field. Being responsible for data modelling, design and maintenance, this position requires experience in data miningand in SQLetc The analytical capacity is at the center of this profession, the salary varies from $86,500 until $130,000 for the more experienced.

The researcher: a classic of AI professions

The academic career as a scientific researcher is a great opportunity in Artificial Intelligence. The researcher is responsible for scientific watchhe extends knowledge and the limits of knowledge in the field, thanks to the questions he asks. This type of AI professions requires a doctorate in computer science. Companies rely on researchers to ensure the intellectual development of computer perceptionthem maththe natural languageImachine learningetc Beyond all these capacities, the researcher must master comparative analysis, parallel and distributed computing and artificial intelligence. The researcher perceives approximately $99,800 on average.

The Big Data architect or engineer

The Big Data architect or engineer acts in the creation of ecosystems facilitating the Communication between several sectors of activity. working on HadoopName and Sparkthe Big Data architect is called upon to planningthe designand the development of Big Data environments. The Big Data Architect is not required to hold a PhD in computer science or mathematics. However, organizations prefer to recruit those who hold them but greatly appreciate the more experienced ones. The qualifications required for these AI professions: skills in C++ programming, Java, PythonScala. The Big Data architect is one of the best paid AI professions with $151,300 as average salary.

The software engineer

in charge of creating software for AI applications. The software engineer encompasses the activities of development, coding, quality control, API management and continuous integration for AI. These creations are used by data scientists and architects. The software engineer must be regularly alerted to updates on new cutting-edge AI technologies. He must master both theartificial intelligence and the software engineering. In his primary qualifications, the software engineer is competent in programming and statistical analysis. The organizations require the bachelor’s degree in computer science, engineering, mathematics or statistics. By working as a software engineer, one can earn $108,000 on average and arrive at $150,000 depending on the specialization.

The software architect

The software architect is very active in designthe systems maintenanceof the tools and platforms. All his work is at the service of the Technology for’Artificial intelligence. He works on his creations, his plans, the solutions he develops as well as the toolboxes used to streamline data traffic. This position also requires a bachelor’s degree in computer science or software engineering. The combination of practice and theoretical knowledge is essential. The software architect must be familiar cloud platforms, software development and statistical analysis. Very well paid, he earns $150,000 and can increase depending on their AI expertise.

The data analyst

He is in charge of the data preparation for the models of machine learning and some presentation of reports depending on the results. The AI ​​data analyst must be savvy in calculations, SQL and other languages for’efficient use of data. He also uses the analytical dashboards for better visualization. A culture in business intelligence is sometimes required. He should earn about $65,000. Those who are lucky enough to get hired by big companies such as Meta earn up to $100,000.

The robotic engineer

Appearing around the 1950s, the first industrial robots have since evolved considerably. The robotic engineer was born at the same time, today with the rise of AI, this career is changing. Xiaomi CyberOne is the latest humanoid robot unveiled at 100,000 euros. In AI, this engineer creates and maintains AI robots. The function of these robots varies according to the institutions that use them. From healthcare to personal assistance, robots are slowly becoming part of human life. To be able to create and maintain them well, organizations require qualified engineers computer science, engineering. This robotic branch touches theIoT, 2D/3D vision systems, CAD/CAM, etc The robotic engineer touches about $87,000 until $130,000.

The NLP engineer

This professional specializes in the treatment of human languages: spoken and written in AI. They are usually active in assistance and voice recognitionin document processing. The NLP engineer must hold a specialized degree in computational linguistics. And skills in computer science, statistics and mathematics increase its advantage. Language processing requires expertise in semantic extraction techniquein modelization and data structuringin sentiment analysis… His salary ranges from $78,000 at $100,000depending on the quality of experience.

Why is the AI ​​business sector promising?

Statistics help you find your way around. Hiring in the field has reached 32% growth since 2020. And as this discipline is quite recent, the vacancies as well as the skills sought are more numerous than the requests. In this same perspective, the market for AI professions is far from being saturated. Those who are starting to join now have the opportunity to grow and expand their careers.

The diversity of opportunities is what seems to be the most promising in Artificial Intelligence. It is therefore possible to work in Artificial Intelligence as a consultant, professional, independent or belong to a specialized institution. The field of research is also not excluded, it is the most open and it is not likely to close anytime soon. And again, from a salary point of view, AI jobs are particularly interesting. The standard slice touches approximately $100,000. Those who are proficient in research and production can even build their own AI.

Who is recruiting for AI professions?

Perhaps the industry that attracts and recruits the most AI professionals is the technology industry. The big names: Microsoft, Google, Meta, Intel, Apple, Amazon, etc. are actively hiring.

Depending on the field or the final objective of the company, the other organizations or institutions also recruit. From health, medicine, the automotive industry, banking to the media, there are many opportunities to be recruited as an AI practitioner. To find out more, here is an article about possible career opportunities after a Masters in AI.

Even if AI is clearly at its peak, it is still important to delve into it by ethically considering the directions of its evolution.

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