04/02/2019 | News release | Distributed by Public on 04/02/2019 06:33
While there is some debate over whether there's an AI talent shortage, there's no doubt that a growing number of artificial intelligence (AI) and machine learning (ML) job openings are being created as enterprises seek to launch and expand their own intelligent machine initiatives.
But what skills and experience do enterprise workers need to land a high-paying AI/ML job? There's a pretty wide range, it turns out. And that's because there are a lot of different AI and ML roles, with more emerging every year. There are listings on job sites today for AI architects, AI product managers, AI software engineers, ML experts, ML data scientists, ML R&D engineers, and many more.
While all of these job listings cite knowledge requirements for successful applicants (such as certain programming languages), I thought it might be useful to compile a list of skills/suggestions, curated from across the web, that might help people interested in AI/ML jobs move toward that goal:
'Candidates interested in pursuing jobs in this field require specific education based on foundations of math, technology, logic, and engineering perspectives,' writes Computer Science Degree Hub (CSDH). 'Written and verbal communication skills are also important to convey how AI tools and services are effectively employed within industry settings.'
There is no escaping the importance of those soft skills! And that's the edge humans always will have over machines, until they don't.
Among the suggestions in this TechGenix article:
Here's a partial list of courses from online tech education site Springboard that AI job candidates should have under their belts:
'A good candidate should have a deep understanding of a broad set of algorithms and applied math, problem-solving and analytical skills, probability and statistics and programming languages such as Python/C++/R/Java,' according to Big Data Made Simple (BDMS).
The educational and resource site hits on several of the suggested skills above (Python/C++/R/Java, lots of probability and statistics, distributed computing), then adds yet another soft skill - more of a trait, really - to the mix:
'Beyond all, Machine Learning requires innate curiosity, so if you never lost the curiosity you had when you were a child, you're a natural candidate for Machine Learning.'
Bottom line: If you're truly interested in an AI/ML career, online (and maybe in-house) informational and educational resources are available to help you get there. Explore what you might be interested in, figure out the avenues that will lead there, and then get started.