Jobs in artificial intelligence are in high demand, and this fast-growing field is only going to grow as technology improves. This guide on landing a job in AI will tell you what kind of education you need and what the best jobs are. You’ll need a bachelor’s degree in computer science or a related field to work in artificial intelligence.
Also, consider getting a master’s or doctoral degree in the field and building your portfolio and experience. Find out more about the various jobs you could get in AI, the abilities and education you need to get into it, how much you can earn, and the different paths you can take in AI.
Investigate AI jobs
Related
How To Become A Machine Learning Engineer: 6 Needed And Dependable Skills,
How Much Does An AI Engineer Make? What Is An Ai Engineer Job Salary In 2023, 10 Jobs That Will Be Replaced Completely By Artificial Intelligence
The first step in getting started is finding out what kind of jobs you want in AI. This will help you tailor your education and build the skills you need. According to Indeed, the top 10 jobs that need AI skills are:
- Director of Analytics: Leads the departments of data analytics and data warehousing and is in charge of research, growth, and implementation of relevant information systems
- Principal scientist: As part of a research team, designs, executes, and documents research studies in various subjects and industries.
- Machine learning engineer: Makes programs that allow machines to act without being told to do so.
- Computer vision engineer: works with computer vision and image processing research to solve real-world problems.
- Data scientist: Using code and other computer programming to collect and store data efficiently.
- Data Engineer: Determines how to enhance data quality and dependability by merging new information into formats that machines can read and comprehend.
- Algorithm engineer: Helps clients understand the most important data trends and report on them.
- Computer scientist: Designs novel uses for new and existing computing technologies, resolving computing challenges in various businesses.
- Statistician: Someone who comes up with or uses different statistical or mathematical theories and methods to collect and explain numerical data for a project.
- Research engineer: Someone who uses well-done research to devise a good solution to a problem.
Develop AI-related skills to shift your jobs in artificial intelligence
To work in artificial intelligence, you should work on several skills. There are various types of AI, but they all share some core ideas. You can improve many skills by practicing independently, taking online courses or boot camps, or working on them while getting a degree.
Learn specific skills
If you want to work in AI, you need to know how to code and use programming languages. Coding is often one of the first things people who want to work in this field learn. You can also expect to use a wide range of computer systems. Some of the most important technical skills to build on are:
- Python and C/C++ are general-use languages.
- Apache Cassandra, Couchbase, and DynamoDB are database management systems.
- MATLAB, R, and Pandas are used for data statistics and analysis
- Microsoft Azure AI, Google Cloud AI, and IBM Watson are all platforms for AI.
- Data acquisition systems: There are both wired and wireless sensors.
- Digital marketing objectives and tactics
- How the industry works
Gain work skills
Skills for the workplace aren’t always something you can learn in a class. Often, you have to gain them through experience. If you want to work in artificial intelligence, you might want to work on these human skills:
- Communication skills
- Effective collaboration
- Analytical skills
- Problem-solving skills
- Management and leadership abilities
Educational requirements
The first thing you’ll want to do if you want to get into artificial intelligence is meet the educational requirements. These requirements will change depending on the type of job, whether it is an entry-level position or a higher one, and the industry.
Learn the degree type
Expect that most jobs in AI will require at least a bachelor’s degree. Some entry-level jobs may only require an associate’s or no degree, but this isn’t very common. To make a living in artificial intelligence, you should probably get at least a bachelor’s degree. As for what to study, most people who work in AI have a bachelor’s degree in computer science, arithmetic, or a similar field.
Get certifications
If you already have an undergraduate degree in a field that has something to do with AI, you might want to take some courses to learn some of the technical skills you’ll need to work in AI. Even if you don’t have a degree, certifications show potential employers that you’re serious about your career objectives and make you a more attractive candidate. Here are some AI certifications to think about:
- MIT: Artificial Intelligence: Implications for Business Strategy
- USAII:
- Certified Artificial Intelligence Engineer
- Certified Artificial Intelligence Consultant
- Certified Artificial Intelligence Scientist
- ARTIBA: Artificial Intelligence Engineer
Salary ranges and job outlook
The future looks good for jobs in artificial intelligence, which is good news for people who already work in this field. The top jobs on Indeed’s Best Jobs list for the past few years have been machine learning engineers and data scientists.
The US Bureau of Labor Statistics (BLS) groups career paths in artificial intelligence with those of computer and information research scientists and says that the number of jobs for computer and information research scientists is expected to grow by 22% from 2020 to 2030. This is a lot quicker than usual. The BLS says that the medium salary for this job in 2021 was $131,490.
As of June 2022, Glassdoor lists salaries, which include base pay and bonuses, for the following AI jobs in the US:
- Artificial intelligence engineer:$120,017
- Engineer in machine learning: $125,087
- Engineer in robotics: $107,771
- Data analyst: $97,329
- Engineer in computer vision: $123 665
- Data scientist: $121,275
Explore possible careers in AI
Machine learning engineers, robotics engineers, computer vision engineers, and data scientists are four of the most common jobs in AI. If you want to work in AI for a long time, starting on a path that will lead to one of these jobs is a good idea.
For example, one way to become a machine learning engineer would be to get hired as a software engineer, software programmer, or software developer, all entry-level jobs in artificial intelligence. For these first jobs, you will need a bachelor’s degree. Your next step is to get a master’s degree in data science, computer programming, software engineering, or something similar. You might also want to get some certifications, improve your skills, and create a portfolio. Lastly, apply for the machine learning engineer position, a high-level job that pays well. It’s one of the greatest positions in artificial intelligence.