Who Is An Artificial Intelligence Specialist: Work & Salary
The profession of a specialist in artificial intelligence (AI) and machine learning is becoming more and more popular every day. According to the statistics for 2019 , the field of activity of Data Science demonstrates the largest demand among all areas of IT. The market very much needs experts who are able to create and maintain artificial neural networks, because this makes it possible to automate work processes, identify hidden trends, make productive forecasts, and develop new useful products and services.
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A neural network (artificial intelligence) is a computer model of the human brain. It got its name for the structure, consisting of a number of analytical elements that perform the same role as neurons in the human nervous system:
- the first layer of these elements receives data;
- inner layers process and analyze information;
- the last layer produces the result.
Due to this, the computer is able to identify various patterns. For example, he can:
- recognize what is shown in the pictures;
- to divide the text into separate constructions within the meaning;
- anticipate fluctuations in demand for services and goods;
- Predict what kind of text will appeal to site visitors.
The peculiarity of AI is that people are 100% unable to know how certain decisions are made by the neural network. In this, it differs fundamentally from ordinary programs working according to a well-defined algorithm. That is, artificial intelligence does not just automate calculations and compare results. No, he really begins to independently understand in some area, applying the knowledge and experience to better cope with the tasks.
A specialist in neural networks is obliged to find errors in the “way of thinking” of AI, to sift out incorrect conclusions, so that, accordingly, based on the correct conclusions, it works better. Because of this specificity, the work is called Machine Learning - machine learning and Deep Learning - deep learning.
Where is the artificial intelligence specialist useful?
Who cares about neural networks? If you look carefully, then ... EVERYTHING! Whatever sphere of human activity is discussed, specialists with a Data Science diploma can easily become real stars in it. However, there are industries in which AI is more in demand right now than in the rest.
Finance industry
Deprived of emotions and not knowing fatigue, computer systems have long been helping brokerage companies in analyzing market factors and forecasting various situations. Due to the work of AI, brokers, hedge funds, banks and other financial corporations are able to effectively control risks, which enables them to maximize the use of capital.
No less active are such algorithms used in the fight against money laundering and fraud. Neural networks instantly and effortlessly detect suspicious money transfers in the vast ocean of transactions conducted every second around the world.
AI is used in every way in diagnosing various diseases, because it is able to notice any, even the smallest details, and objectively evaluate the data obtained.
Neural networks are also actively used in testing developed drugs, which reduces risks for patients and saves the resources of pharmaceutical companies.
Freight and passenger transportation
The introduction of neural networks will soon replace, for example, truckers who quite often get into accidents due to physical fatigue. Also, over time, AI is able to supplant taxi drivers and other drivers involved in passenger transportation.
The advantages of using artificial intelligence in the work of logistics companies are invaluable, where they build the most efficient routes, which saves a lot of money.
What an AI Specialist Should Know
Artificial intelligence professionals are required to:
- Be able to program in Python.
- Visualize the received data, creating visual infographics or dashboards.
- Build machine learning models.
- Apply neural networks to solve real problems, having mastered the frameworks for working with the Keras and Tensorflow software libraries.
- Understand how neural networks function in terms of solving problems in computer vision and linguistics.
- Master the work with databases (MongoDB, PostgreSQL, SQLite3) and libraries (Matpotlib, NumPy, Pandas).
You should not be afraid of all these terms, because at good courses all these and other important points can be easily mastered in a year, which will make it possible to apply for a fairly well-paid job.
The salary of artificial intelligence specialists in Russia
According to the website hh.ru , experts in the field of Data Science and Machine Learning , now more than 2300 companies are looking for! This indicates a serious lack of personnel, and therefore problems with finding a job are not expected.
The amount of wages depends on the region and the level of training:
- Junior Specialist (junior);
- confident specialist (middle);
- professional (senior).
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| How to Be AI Specialist |
Here is an example of vacancies for senior and middle in the capital:
It is worth noting that on an ongoing basis, good specialists (middle and senior) in artificial intelligence are required in ABBY, Yandex, Sberbank.
As for beginners (junior), in Moscow and St. Petersburg they can count on a minimum salary of 60-80 thousand.
In the regions, salaries are about half lower. Beginners earn from 25-30 thousand rubles, middle - from 50-60 thousand, and senior - from 80 thousand and above.
How to become a specialist in the field of neural networks
There are only three options, although the only optimal one is to take specialized courses . In this case, you can get a solid theoretical base and the necessary practical skills in the shortest time (up to a year) along with a diploma that will simplify your job search. Next - it all depends on you! As a rule, career growth in the field of artificial intelligence is fast.
As for the two other alternatives, then:
Do it yourself. Very commendable, but too long. While you will learn the basics, the sphere of neural networks will continue to develop rapidly, and who knows, but will you even have time to catch up with it? In addition, self-taught without diplomas and with a dubious database of information, which will probably be full of gaps, it will not be so easy to find a job.
Enter university. A good option, but classical training will require the study of many other disciplines that are unlikely to be useful in life. In addition, the cost of studying is quite high, but the value of the knowledge gained is a big question. In universities, theorists usually teach, who do not always follow how the sphere is developing, and what is now relevant.
In general, there’s nothing to think about, and therefore it’s worth studying the available courses and choosing the most suitable for the cost and terms of study.
In conclusion, please say what you think:
can cars theoretically break out of control and take over the world?
or artificial intelligence is not a threat to humanity?
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