Machine learning is used in many places and is one of the technologies that enrich our lives. Along with that, attention is also focused on machine learning engineers who build machine learning. What I am concerned about is the outline of machine learning engineers and the annual income situation. This time, we will introduce the outline of machine learning engineers and the annual income situation.
What kind of profession is a machine learning engineer?
Due to the rapid development of AI technology and the promotion of digital transformation by companies, the attention of machine learning engineers is increasing. So, first, I will explain about machine learning engineers.
What is a machine learning engineer?
A machine learning engineer is a job that specializes in machine learning technology in AI development. Machine learning is one of the technologies required to realize AI, and derives certain rules and rules based on a large amount of data. Machine learning engineers use their knowledge of statistics and mathematics to build machine learning models in order to find certain regularities from large amounts of data.
Job description of a machine learning engineer
Machine learning engineers are mainly responsible for data analysis, construction, and construction and verification of machine learning models. In particular, building and verifying machine learning models is the most important task. In machine learning, the accumulated data is learned according to the constructed machine learning model. At this time, the learning result makes a big difference depending on the machine learning model selected. Therefore, it is necessary to modify the machine learning model with higher accuracy by repeating the verification.
Differences between AI engineers and data scientists
Similar occupations to machine learning engineers include AI engineers and data scientists. Since AI engineer is a term that refers to all engineers involved in AI, machine learning engineers are also included in AI engineers. However, some companies make a clear distinction between AI engineers and machine learning engineers. A data scientist is a job that is treated in much the same way as a machine learning engineer when looking at the work content. However, some companies make a clear distinction, so it is necessary to confirm in advance.
Check the annual income of machine learning engineers
Next, let’s take a look at the annual income of machine learning engineers.
Domestic average annual income
According to data from the job search site Indeed, the average annual income of machine learning engineers in Japan is around 6.3 million yen. According to the site, the average annual salary of a general engineer is about 4-5 million yen, so it can be said that machine learning engineers have a high salary level. In recent years, the Ministry of Economy, Trade and Industry has been promoting digital transformation, and the importance of AI is increasing in society as a whole. Therefore, increasing demand is increasing the number of companies offering higher salaries.
Trends in average annual income overseas
Overseas machine learning engineers are often offered higher annual salaries than domestic ones. According to the data of the American recruiting site “Glassdoor”, the average annual income of machine learning engineers is about 14 million yen. If you are a machine learning engineer and want to achieve a high annual income, it is recommended that you also consider working overseas. However, the level required is likely to be higher than in Japan, so you must improve your skills on a daily basis.
To aim to increase annual income as a machine learning engineer
In order to increase your annual income as a machine learning engineer, the following points are important.
- Catch up on the latest technology
- Learn a programming language
- Improve project management skills
- Improve your English
- Consider changing jobs
Catch up on the latest technology
As technology advances rapidly in the IT industry, it is important to keep an antenna on and catch up with the latest technology and knowledge. In particular, new information is being transmitted one after another in advanced technologies such as machine learning and AI. There are few human resources who can handle the latest technology and the demand is high, so if you do not miss the catch-up, you will be a valuable human resource.
Learn a programming language
In order to realize machine learning, it is necessary to code “Python” and “R language”. Therefore, you must acquire the knowledge to code each one. Also, when implementing machine learning, knowledge of specialized libraries and frameworks is also required, so it is good to remember the commonly used “NumPy, Pandas, Tensorflow, Matplotlib” and so on.
Improve project management skills
If you want to advance your career as an engineer, it is important to improve your project management skills in addition to technology skills. If you gain some experience as an engineer, you will have more opportunities to play an active role not only in the field but also as a team leader. In addition to managing the team, there is a wide range of tasks such as formulating development policies and selecting technologies for solving problems. Managers tend to have higher annual incomes, so think ahead and improve your management skills.
Improve your English
The fields of machine learning and AI are more advanced overseas than in Japan. Therefore, you have to read foreign documents to get the latest knowledge. At that time, it is important to acquire English proficiency so that you can read overseas documents. By acquiring the latest information, even domestic companies will be able to become valuable human resources.
Consider changing jobs
After gaining experience as a machine learning engineer, it is a good idea to move to a company with better conditions. Due to the high demand for machine learning engineers themselves, it is possible that you will find a company that will generate a higher annual income for the same job. Furthermore, if you are confident in your language skills such as English, it is also effective to work overseas such as the United States in search of a high income.
To get a satisfying annual income with a machine learning engineer
The following points are important for a machine learning engineer to earn a satisfactory annual income.
- Choose a job-based employment company
- Choose a company that is willing to invest in education
- Check the personnel evaluation system
Choose a job-based employment company
Job-type employment is employment that emphasizes external competitiveness and determines salary based on market value. Since job-based employment focuses on skills and determines salary, it is likely that the salary will be higher than the seniority-based assessment found in many companies.
Choose a company that is willing to invest in education
It is important for engineers to constantly study and improve their skills. Therefore, by selecting a company with a well-educated environment, you can work while increasing your own market value. Also, a company that is willing to invest in education is a company that understands the value of engineers, so it is highly likely that it will get a proper evaluation. By increasing the market value, you can expect high annual income even when you change jobs.
Check the personnel evaluation system
In order to obtain a satisfactory annual income, it is important to have an evaluation system that clearly and properly evaluates your contribution. Many companies often carry out personnel evaluations in seniority order. However, in seniority, there is almost no such thing as a sudden promotion or salary increase due to evaluation. Therefore, it is important that the evaluation system only properly evaluates ability.
If you want to touch machine learning, leave it to TRYING
To become a machine learning engineer, you must acquire knowledge and skills related to machine learning. However, it is difficult to learn machine learning from scratch. Therefore, I would like to recommend two cloud-based business efficiency improvement tools developed by TRYING.
Experience machine learning with the no-code AI tool “UMWELT.”
UMWELT is a tool that can use AI without programming. There is no need to prepare a special environment for using AI in-house, and AI can be used while minimizing preparation costs such as costs and man-hours. It is equipped with a large number of AI algorithms that help improve work efficiency, and anyone can easily build an AI system by freely combining these algorithms.
Easy automatic shift creation with AI cloud “HR BEST”
HRBEST is a tool that automates complex shift creation with “combinatorial optimization” technology. Since shifts can be created according to the Labor Standards Law and industry rules, shift creation work for managers, who tend to be personalized, can be easily automated. Since it is a cloud service, it is always possible to respond to sudden shift changes and law revisions, and always keep the latest shift status.
summary
Machine learning engineers have a higher average annual income than general engineers, and it is expected that the level will continue to rise in the future. Many companies would like to acquire machine learning engineers to improve work efficiency and create businesses. However, it is difficult to hire machine learning engineers, and many companies may be worried that they will not be able to incorporate machine learning.  UMWELT / HRBEST is an AI tool that can be used without the need for an instrument learning engineer. Please take this article as an opportunity to contact TRYING.
Follow us on Facebook for updates and exclusive content! Click here: Each Techy
