Artificial Intelligence is an increasingly growing field in engineering. The skill to impart human capabilities to machines. According to Statists, the AI market is expected to grow 120 percent by 2025. Further, Accenture research says that AI could double economic growth rates in twelve developed economies by 2035. Further, the report projects that can increase labor productivity by up to 40 percent and make people more efficient in the use of their time.
Overall, there have been multiple sources that have said AI to be a game-changer in the coming time.
In a nutshell, Artificial intelligence is used to describe multiple technologies, which include machine learning, computer vision, natural language processing and more. AI finds use in every industry and has been on the path to transforming each one and increase more productivity.
AI Engineers are in huge demand across the world. However, there has been a huge gap in the supply of engineers. Companies are struggling to fill positions that require AI skills.
According to Indeed, the demand for AI-related jobs almost doubled in the past three years. The jobs include roles such as Data Scientist, Machine Learning Engineer, Corporate Analytics Manager, and others.
Additionally, the salaries in AI-related jobs have also gone up. According to Glassdoor, the average salaries of jobs advertised on its platform has gone up by 11 percent and stands at $123,069 annually. This, indeed, is a good time for people looking to get into AI-related jobs.
Facebook and Apple are the top companies with an average salary market salary of $304K and $184K respectively. SRI International pays an average of $170K to AI engineers.
How to become an AI Engineer
There are several in AI and each one requires a different set of skills. However, several job postings related to AI Engineers, for the most part, advertised the following skills.
- Java : 60 percent
- Artificial Intelligence: 57 percent
- C++, Linux, and Python: Average 40 percent
Other than this, AI engineers need to have at least a bachelor’s degree in computer science, machine learning or any STEAM-related field. In some cases, IEEE has also reported having AI engineers to have a background in biology and another related field. At top tech companies including Apple, Facebook, Intel have more than 50 percent of AI engineers to have a bachelor’s degree. Another 50 percent have a master’s degree or higher qualification.
Moreover, from the practical skills perspective, AI engineers are required to have a good strong analytical mindset and good attention to detail. AI engineers are expected to work independently as well as in a team. From the job perspective, it is also important to have hands-on experience to get started with any AI-related job as it is a highly application-oriented role.
The following are the major technical skills required to start a career in machine learning.
- Mathematics is a major part of the technical skills required to be in artificial intelligence. Mostly it derives logic. Probability, statistics, algebra, calculus, and algorithms form a large part of the AI programs’ curriculum taught in school.
- Further, Bayesian networking/ graphical modeling, including neural nets.
- Cognitive science theory.
The above skills form the gist of the skill set required to start a career in artificial intelligence. Additional skills may be required depending on industry verticals, experience. Other than this, for senior positions, certifications in artificial intelligence could give an impetus to career growth. Certified AI engineers can get better salary hikes than the ones without it.
In conclusion, if you’re looking to start a career in artificial intelligence, now is a good time. Opportunities are abundant in this field, however, shortage of talent makes it easy for those who aspire to get into it.