Over the past several years, we’ve witnessed an explosion in the usage of artificial intelligence and this growth shows no signs of slowing down. Prominent companies are investing billions into research and some of the most lucrative, future-proof jobs in technology involve AI.
Choosing to switch to an artificial intelligence career path might be a no-brainer, but choosing which area to focus on isn’t that simple. To make things easier, we’ve compiled a list of artificial intelligence career path options for job seekers.
6 Great Artificial Intelligence Career Path Options
(in no particular order)
- Data Scientist
Data is the lifeblood of artificial intelligence, and the rise in AI usage has led to a significant increase in demand for data scientists. If you have some math skills and enjoy translating raw data into actionable info, 6-figure employment as a data scientist is definitely within your grasp.
- Machine Learning Engineer
For engineers with advanced coding knowledge, one of the best artificial intelligence career paths is that of a machine learning engineer. It can be tough to break in, but once you’re established as a machine learning engineer you can expect to earn well north of $100,000.
You may be interested in : Data Scientist vs Machine Learning Engineer – Similarities & Differences
- Robotics Engineer
Robotics is one of the most exciting fields within artificial intelligence, making robotics engineers one of the most in-demand positions in tech. The fact that major companies like Microsoft and Apple are investing billions into robotics doesn’t hurt your career prospects either.
- Computer Vision Engineer
Computer vision generates and interprets actionable data from images and videos via computers and is a major force in contemporary AI developments. As such, computer vision engineer is becoming a popular (and profitable) artificial intelligence career path.
- Business Intelligence Developer
A business intelligence developer combines AI with business trends to develop insights that accurately track, measure, and project things like sales metrics, profitability, and ROI. Business intelligence developers also help organizations optimize their workflow and other key processes.
- AI Architect
An AI architect is a data scientist that helps organizations implement AI solutions. They must identify the right technology and make sure that the project meets the client’s needs. Becoming an AI architect requires significant technical skill and creative vision and the expected salary reflects this.
These are just a few of the many potential artificial intelligence career paths available. Whatever it is you choose to pursue, one thing is certain – there’s never been a better time to launch an AI career.