Written by Coursera
The outlook is bright for artificial intelligence jobs, which is good news for anyone working in the growing field of AI. In fact, machine learning engineers and data scientists have made the top of the list on Indeed’s Best Jobs for the past few years [1, 2, 3].
The US Bureau of Labor Statistics (BLS) groups careers in artificial intelligence with computer and information research scientists and notes the employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031 [4]. This is much faster than average.
With the rise of ChatGPT during the recent AI boom, you may want to consider a job in artificial intelligence. But what jobs are they? How do you land a job in this field? Let us guide you through the jobs you can get in AI, and the skills and education you’ll need to pursue them.
6 artificial intelligence jobs to consider1. Artificial intelligence (AI) engineerAI engineers are professionals who use AI and machine learning techniques to develop applications and systems that help organizations become more efficient. AI engineering focuses on developing the tools, systems, and processes that enable AI to be applied to real-world problems. Algorithms are “trained” by data, which helps them to learn and perform better. Ai engineers can help cut costs, increase productivity and profits, and make business recommendations.
Average salary: $120,017
2. Machine learning engineerMachine learning engineers are professionals who research, build, and design the AI responsible for machine learning. They maintain and improve existing AI systems. A machine learning engineer often serves as a liaison with other data science team members, collaborating with the data scientists who develop models for building AI systems. They run experiments and tests, perform statistical analyses, and develop machine learning systems.
Average salary: $125,087
3. Data engineerData engineers build systems that collect, manage, and convert raw data into usable information for data scientists, business analysts, and other data professionals to interpret. They make data accessible so that organizations can use it to evaluate and optimize their performance. Data engineering is a broad field with applications in nearly every industry.
Average salary: $115,592
4. Robotics engineerRobotics engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medicine. A robotics engineer designs new products or assembles prototypes for testing. Some may work on-site at a manufacturing plant overseeing robots as they are being produced, while others monitor their performance in the real world. Robotics engineering combines elements of mechanical and electrical engineer with computer science.
Average salary: $101,062
5. Software engineerSoftware engineers, sometimes called developers, create software for computers and applications. They use programming languages, platforms, and architectures to develop anything from a computer game to network control systems. A software engineer may also test, improve, and maintain software built by other engineers. If you’re an analytical thinker who enjoys solving problems and improving digital systems, you may find this career rewarding.
Average salary: $107,169
6. Data scientistData scientists determine what questions an organization or team should be asking, and help them figure out how to answer those questions using data. They often develop predictive models used to theorize and forecast patterns and outcomes. A data scientist might use machine learning techniques to improve the quality of data or product offerings.
Average salary: $126,575
How to get a job in AI
When it comes to landing an AI job, you’ll want to consider the requirements and skills associated with a specific job role. These are the common ways to get a job in AI, but keep in mind that your path will vary depending on job type, level, and industry.
Get a degree.
Expect most jobs in AI to require a bachelor’s degree or higher. For some entry-level positions, you may only need an associate degree or no degree, but that is uncommon. Most individuals working in AI obtain undergraduate degrees in computer science, mathematics, or a related field.
Gain skills and earn a certification.
If you already have your undergraduate degree in a field related to AI, consider enrolling in courses to learn the technical skills. Even if you don’t have a degree, certifications demonstrate to potential employers that you’re serious about your career goals and investing in your skills. Some AI certifications to consider include:
MIT: Artificial Intelligence: Implications for Business Strategy
USAII:
Certified Artificial Intelligence Engineer
Certified Artificial Intelligence Consultant
Certified Artificial Intelligence Scientist
ARTIBA: Artificial Intelligence Engineer
Apply to entry-level jobs.
Once you feel confident with your level of education, start doing research and applying to jobs. Many entry-level AI jobs such as software engineer or developer will indicate “entry-level” or “junior” in the job description. Those that require less than three years of experience are typically fair game.
If you have trouble in your job search, try applying for internships or get started on a freelance project or a hackathon to sharpen your skills. You’ll receive feedback on your work and develop relationships that may benefit you in the future.
Source: Coursera
Original Content:
https://www.coursera.org/articles/artificial-intelligence-jobs
