So, AI has been in development for some time now, but with the global expansion of software development companies, working on AI projects has increased its scope and speed. With the in mind, I thought it would be a good idea to uncover a few jobs that will be highly sought in the upcoming years in working with AI.
There is no school or course to prepare you 100% for becoming a data scientist. However, if you have a strong background in statistics, various math fields, computer science, or machine learning, you already know how to get the data and derive some information from it. This is what a data scientist does – collecting numbers and building better modules.
So, if you are a combination of a scientist and an engineer, you may want to consider getting experience as a data scientist.
This one has been the go-to occupation of our generation. Your parents will no longer pester you on becoming a banker, lawyer, or doctor. Instead, expect your family to bombard you at gatherings with “Mark is really making serious money by programming. Why don’t you do it?” To be a qualified software developer, you need a Bachelor’s Degree in Computer Science. However, with outsourcing on the rise, it may work if you’re self-taught. Just make sure you find some credible credentials.
Some of you are now wondering: “What, the heck, is that!?” While the world is working hard on making AI functional, the job of an ethicist is to take on the ethical issues of your AI and minimize the negative effect they might produce.
This is not an official occupation yet. Luckily, however, the fields you need to educate yourself in are already covered by other occupations on this list. Get yourself acquainted with machine learning, software development, and programming in general – but also read up on ethics.
Here is where the army skills become handy in the service of science. Intelligence specialists are similar to data scientists in that they collect data and interpret it to those that need to make a decision. However, if you are not already one, it may be a good idea to skip this occupation – it is hard to qualify for it.
Alternatively, you can try for a business intelligence specialist. Same job, different title – it is a data scientist that understands how the data will affect the business of the client or the company.
Now we’re talking. In order for AI to be functional, it needs to address its client’s needs. A client in need of a GPS will not purchase a chatbot. It is the job of an AI architect to adjust the product to the client’s needs or find a way to make it with the tools at their disposal. Understanding the AI framework is a must. To qualify, you need to have a lot of experience in software development or data science.
AI is still relatively new, so it is very difficult (try nearly impossible) to find a reliable course that will teach you everything you need to know about the industry and provide you with credentials. So, working with what we have, it is not time to cash in on your knowledge of machine learning, software development, or data science, since these three disciplines are the most common ones.