Technologies like AI and machine learning are proved as powerful tools to aid business functions. In return, offers effective solutions to solve complex business problems and can act independently in certain situations even software engineers or aspiring AI engineers should not foresee.
From using smart assistants like Alexa and Siri to music and media streaming apps like Netflix or Spotify, AI is here to make our lives easier. While people are worried about automation and AI replacing humans, a McKinsey report demonstrated 27 percent of business growth in AI investments. The number of job opportunities across the world continues to increase, more so, there are now five times larger than it used to be in 2013.
As a result, specialists in AI are in constant demand across industries related to face recognition software, robotics, gaming, speech recognition, expert system, search engines, vision recognition, weaponry, and more. Therefore, if you’re planning to launch a career in this field, probably now is the right time for a career transition.
AI is not a fad, it will keep evolving till the foreseeable future. After all, building machine learning models or mimicking the human brain will require more than just theory. The skills required to pursue an AI career vary from one job role to another job role, however, all of them require common technical skills and focus.
Below are the common technical skills required:
An AI engineer could earn an average salary of USD 114,121 per annum in the U.S., according to Glassdoor. However, salary may differ according to the type of organization, the type of industry, location, and experience in the field.
Getting skilled in AI can provide multiple opportunities in job roles such as AI Developer, AI Architect, Data Scientist, Machine Learning Engineer, and Business Intelligence Developer.
As industries invest in AI and machine learning, becoming an AI engineer is perhaps an ideal choice you’re making today.