Machine learning technology is not new, it dates back to the 1950s. However until recently it was a topic for discussion mostly in the scientific community. And only since 2010 has it become widely used in various fields: medicine, finance, social media etc.
What is Machine Learning?
Machine learning is a part of artificial intelligence (AI). Machine learning is connected with several sciences: linear algebra, probability theory, statistics and higher mathematics.
Nowadays machine learning is used in a variety of areas:
- computer vision
- speech, image and video recognition
- medical diagnostics
- classification of documents
- development of voice assistants
- intellectual games
- cyber attack recognition and much more
Azoft actively uses machine learning technologies. Our most remarkable projects using machine learning technologies are a mobile application for recognizing traffic signs, a face recognition system, an application for bank card recognition and an application for recognizing text on cash vouchers.
Machine Learning Specialists
Despite the growing interest in machine learning, the number of ML specialists in Russia is still not very high. Thus, they are highly valued and can expect to have interesting projects and perfect working conditions.
At some HR sites you can find the following ML-related jobs: Data Scientist, Machine Learning Engineer, R&D researcher.
The main tasks of a machine learning specialist are as follows:
- extracting information from data sets
- searching for hidden regularities and their information characteristics
- development and optimization of algorithms for data processing and analysis
- getting knowledge information about users, building probabilistic and predictive models of user behavior
To accomplish all these tasks, an ML specialist should have higher education (mathematical, technical), knowledge of probability theory and machine learning algorithms, experience in working with data warehouses, knowledge of at least one programming language, proficient level in English for reading technical literature, and good mathematical skills in general.
At the moment we have an open vacancy of an R&D researcher.
The basic requirements for our candidate are knowledge of mathematics (in particular, statistics), experience in Python and Data Science, OpenCV, Matlab, as well as machine learning, computer vision and high-accuracy neural networks. A big plus will be completing a training course at the Yandex Data Analysis School or training courses on Data Science at Coursera.
If you want to take part in the competition for a vacancy, contact us at firstname.lastname@example.org.
Let’s sum up. More and more companies are turning to machine learning and developing algorithms to solve their tasks. Azoft keeps up with these tendencies. Machine learning technologies allow us to develop interesting and exceptional solutions in different business areas. Join our R&D team and follow current IT trends.