Many people are thinking about changing jobs or getting a job in the AI industry, but they don’t know what to do.
First, you need to decide what kind of job you want to do and what qualifications and skills you need to get into that job.
Therefore, in this article, we will introduce the jobs in the AI industry, the skills required for those jobs, and what you need to do to change jobs from inexperienced people.
AI Industry Demand and Future
I think that many people are concerned about the demand and future potential of the AI industry, so I will explain it.
demand is high
The demand in the AI industry is huge. Recently, AI is being used in familiar situations such as cleaning robots and self-driving cars. With the birth of products and services that utilize AI, there will be many opportunities for people with knowledge and skills about AI to be needed in various situations. Therefore, AI-related jobs are in high demand.
very promising
It has great future potential. With the development of deep learning, it can be predicted that AI will be used in a wider range of fields than ever before. The demand for the AI industry, which has the technology to develop AI-equipped products and AI-based services, continues to grow and will continue to grow.
3 AI-related jobs that you can change jobs to
data scientist
The first is a data scientist. A data scientist is a job that supports decision makers in development work so that they can make rational decisions based on data. This job requires a wide range of knowledge, from statistical analysis and IT skills to business and market trends.
Business content/Average annual income
The job description varies from person to person, but the main tasks are:
- Collecting large amounts of disjointed data and transforming it into a more usable format
- Solving business challenges using a data-driven approach
- Work with a wide range of programming languages including SAS, R and Python
- Good understanding of statistics (including statistical tests and statistical distributions)
- Understanding the latest trends in analytical methods ( machine learning , deep learning, text analytics, etc.)
- Communication and collaboration with IT and business
- Discover order and patterns in your data and identify trends that contribute to the bottom line of your business
| Refer from job site | average salary |
| Career Change Station | About 6.2 million yen |
| job box | About 6.97 million yen |
| Indeed | About 5.1 million yen |
There are variations depending on the site that is posted, but you can see that it is around 6 million yen. .
AI engineer
The second is an AI engineer. An AI engineer is “AI development” using a programming language, “learning” to input data into AI and improve its accuracy, and “analysis” to verify the AI being operated and improve its accuracy. It is a job to do We play an important role in building and operating AI
Business content/Average annual income
There are three main types of business:
- AI development using deep learning
- Data collection and creation for learning to improve AI accuracy. Removal of unnecessary data called cleansing.
- Providing data necessary for analysis
| Refer from job site | average salary |
| job box | About 5.8 million yen |
| Indeed | About 5.2 million yen |
It can be said that the average annual income of AI engineers is about 5 million to 6 million yen.
AI planner
An AI planner is a job that utilizes AI knowledge, judges whether AI can be used to solve problems, and plans and directs AI plans.
My main job is to manage AI so that it can be used in business situations through communication with engineers.
Business content/Average annual income
Specifically, the AI Planner has the following three tasks. AI planners are more focused on planning than other AI-related jobs.
- Manage and execute projects using AI
- Verification of business effectiveness from AI planning
- Through communication with AI engineers, manage so that AI can be used in business situations
| Refer from job site | average salary |
| Indeed | About 4.7 million yen |
Skills and knowledge required to change jobs to the AI industry
Next, we will introduce the skills and knowledge required to change jobs to jobs related to the AI industry that have been introduced so far.
- programming skills
- Basic knowledge about AI
- knowledge of mathematics
- Data scientist knowledge
We will discuss these four below.
programming skills
| AI-related occupations | skill requirement |
| data scientist | ◎ |
| AI engineer | ◎ |
| AI planner | ☓ |
Programming skills are the ability to give instructions to a computer.
Computers cannot understand human language, so we need to use a programming language to translate it into a language that computers can understand. Programming refers to the abilities required for this task.
The main work of a data scientist is analysis using statistics and machine learning, and programming skills are required. Also, as mentioned above, it is essential for AI engineers to use programming languages.
Conversely, since AI planners are mainly responsible for management, programming skills will not be required directly.
Basic knowledge about AI
| AI-related occupations | skill requirement |
| data scientist | ◎ |
| AI engineer | ◎ |
| AI planner | ◎ |
Basic knowledge of AI is essential if you want to pursue an AI-related career. For those who are thinking about finding a job in the AI industry or changing jobs, it is necessary to acquire basic knowledge such as what AI is and what deep learning is.
In any occupation, it is impossible to acquire other skills without knowledge of AI, so if you are thinking about finding a job in the AI industry or changing jobs, you should learn the basic knowledge first.
knowledge of mathematics
| AI-related occupations | skill requirement |
| data scientist | ◎ |
| AI engineer | ◎ |
| AI planner | △ |
There are many different fields in mathematics. First of all, the knowledge required for data scientists is mainly calculus, statistics, optimization, Bayesian statistics, linear algebra, Laplace transform, probability statistics, and Fourier analysis.
It can be said that data scientists are still required to be able to use mathematics.
AI Engineers should have knowledge in at least the following areas: Calculus, Linear Algebra, and Mathematical Statistics. These are just the bare minimum, so you won’t lose out by studying other fields as well.
AI planners are people who manage and execute projects, so they need more consulting and planning skills than math skills. In managing the progress, it should be easier to work if you have an understanding of the work of the members. You don’t have to go deep into math, but it doesn’t hurt to study.
Knowledge of data science
| AI-related occupations | skill requirement |
| data scientist | ◎ |
| AI engineer | ◯ |
| AI planner | ◯ |
Data science draws on knowledge from many different disciplines, including mathematics, computer science, programming, statistics, and business knowledge. It is primarily used to build models using data for analysis.
As the name suggests, a data scientist’s job is to utilize data science, so of course knowledge of data science is required. AI engineers and AI planners also need this knowledge from the perspective of data analysis and prediction from models.
Is it possible to change jobs to the AI industry without experience?
So, is it possible to change jobs to the AI industry from inexperienced people?
In the AI industry, there are many occupations that require specialized knowledge, but depending on the job offer, even inexperienced people may be accepted. Basically, if you are inexperienced, it can be said that it is difficult to change jobs without some qualifications and achievements.
How to change jobs to the AI industry from inexperienced
So what should I do to change jobs to the AI industry from inexperienced? There are two ways.
- Acquire AI-related qualifications and certifications
- learn programming
We will discuss each of these below.
Acquire AI-related qualifications and certifications
The first is to acquire AI-related qualifications and certifications. Here are three qualifications.
| qualification name | Test content | Pass rate |
| G test | Basic knowledge of deep learning, the ability and knowledge to determine appropriate utilization policies and utilize it in business | about 60% |
| E-test | Ability and knowledge to understand the theory of deep learning and to select and implement appropriate methods | about 60% |
| AI implementation test | Systematic deep learning implementation knowledge and skills | about 70% |
There are various AI-related qualifications, so it is important to acquire the qualification that best suits your purpose. The G test is a qualification for generalists who utilize deep learning, and the E test is a qualification for engineers who implement it.
After taking the G test, you are allowed to put a logo mark on your business card, so it is also a proof of your skills. After obtaining E qualifications and AI implementation tests, you can prove your skills by filling in your profile.
learn programming
The second is to learn programming. As we have introduced so far, programming skills are essential skills for data scientists and AI engineers. Among programming languages, Python is particularly important because it is often used for AI development. There are three main ways to learn programming.
- study online course
- go to programming school
- self-study with reference books
The advantages of each are as follows. Online courses can be taught without worrying about location or time, programming schools can take classes directly from professional instructors, and when self-studying with reference books, you can easily start studying with reference books that suit you. is.
If you study programming and acquire knowledge, you can also acquire qualifications.
Not only development skills! ? Human Resources Required in the AI Industry
As technology advances, AI is expected to replace human work. In order to overcome this wave of change, it is important to improve the skills to use AI and the skills that AI is not good at.
Now, let’s take a look at what kind of people are in demand in the AI industry. In addition to development skills such as programming, various skills such as reading comprehension, presentation skills, communication skills, management skills, and planning skills are required.
[AI-related job posting] 5 recommended career change services
Here are 5 recommended career change services.
- recruitment agent
- My Navi Agent
- doda
- BIG DATA NAVI
- PaizaJob change
I will explain each.
recruitment agent
You can receive a full range of services, such as the industry’s largest number of undisclosed job openings, experienced advisors, and full career change support.
My Navi Agent
They provide full-time support related to changing jobs, such as correcting application documents and negotiating conditions. In addition, career advisors will carefully answer questions for those who are changing jobs for the first time.
doda
We also provide support for correcting application documents and interview support according to the company, adjusting the interview schedule, and adjusting the timing of joining the company after a job offer. Our agent service has approximately 100,000 job openings that are not posted on the site, including unpublished job openings.
BIG DATA NAVI
There are abundant AI projects such as machine learning, support by staff familiar with industry circumstances, and side jobs and independent support. In addition, you can search by specifying programming language, development environment, recruitment type, etc. from the projects on the site.
PaizaJob change
A job change, job search, and study site that specializes in IT/WEB engineers. It is a groundbreaking service that judges and visualizes technical capabilities through programming skill checks, and makes it easier for people with skills to find employment or change jobs.
summary
In this article, we have introduced the jobs in the AI industry, the skills required for them, and what you should do to change jobs and get a job in the AI industry from inexperienced people.
If you are thinking about changing jobs or finding a job in the AI industry, please refer to it.
