Imagine a robot and a human giving each other a fist bump. In the book “How Artificial Intelligence is Transforming the World,” that is the iconic image that serves as a metaphor for the extraordinary potential of human-machine collaboration (Brookings Institution).
Artificial intelligence is already making a huge difference in people’s daily lives and the global economy. And one of the most significant long-term effects will be how AI and machine learning (ML) change the nature of employment.
The concept that robots will displace people from so-called “repetitive jobs” is hardly the real story, though. One school of thinking even asserts that “AI will be the most significant job engine the world has ever seen.”
Artificial intelligence will successfully destroy low-skilled jobs while massively expanding high-skilled job prospects across the whole economy. The need for skilled AI specialists is growing as the influence and significance of artificial intelligence and machine learning spread across all industries.
This article on how to find employment in artificial intelligence is intended to assist you in considering how to launch a prosperous career in this interesting, revolutionary industry.
How to Start Your Career in AI?
“Learning routes for three different categories of professionals; those new to the industry, programmers, and those currently working in data science,” according to an AI and ML career guide provided by SimpliLearn. The main tips for people who are new to the field centre on looking for possibilities for practical training and mastering the following competencies:
- Strong computer skills
- AI and ML coursework
- C++ programming
- Understanding of algorithms
- General business knowledge
The essay advises that regardless of where you begin, you should prepare to continue studying throughout your professional life since “AI never stops learning, so you can’t stop learning either,” it says.
AI job candidates should also educate themselves by reading as much as they can about the dynamic, real-world uses of artificial intelligence, the most well-known examples of which at the moment being digital assistants, chatbots, robots, and self-driving cars.
“In a nutshell, artificial intelligence (AI) is a branch of computer science that trains the machine to comprehend the human mind and respond in human-like ways. According to self-described “AI researcher, writer, and tech geek” Albert Christopher, “AI seeks to construct machines that can think, behave, and understand the way people do.”
He lists numerous AI job openings and provides a thorough analysis of the educational prerequisites, necessary abilities, and job responsibilities for one of the most well-known AI-related positions: artificial intelligence engineer (recent average salary estimate: $164,000, according to ZipRecruiter).
How to Get Experience in AI When You Have None?
Donal Byrne offers additional advise on how to land a job in artificial intelligence. He explains his experience breaking into the AI job market while pursuing a bachelor’s degree in computer science.
One of the most crucial lessons from his post on TowardDataScience.com, “How to Get a Job in AI with No Experience,” is that, well, you actually do need some experience. (Let’s face it: nobody will hire a candidate with zero experience.)
The good news is that you can gain some AI and ML knowledge on your own by following a variety of excellent courses. Of course, it’s always a good idea to look for networking opportunities with AI professionals, go to conferences and online events, and join online AI groups like those on LinkedIn.
However, it is believed that practical training is necessary to begin working with AI and ML. Possibilities for practical training include:
- Personal Projects: Byrne advises completing projects on Github, saying that they don’t have to be “large, flashy, or unique; they just need to display your mastery of the issue and give others an idea that you can work/research independently with excellent coding standards.”
- Hackathons: A hackathon Participating in these has a number of advantages. Byrne claims that in addition to “meeting more experienced people and you can put it on your increasing CV/portfolio,” it “forces you to go out and build something.” It’s vital to highlight that AI-related work may have connections to various hackathons that are focused on particular industries.
- Coding Problems – Coding competitions “push you to construct a practical application of what you have learnt, similar to hackathons,” a task that can be “worth its weight in gold” when applying for jobs, according to Byrne.
- Open Source Projects: According to Datamation.com, “Open source artificial intelligence projects don’t usually garner much attention, yet they play a crucial role in the advancement of artificial intelligence.” The website covers a variety of intriguing open source AI projects and observes that both seasoned and novice developers “frequently pursue them as passion projects.”