The Strangest and Best Ways to Recruit Machine Learning Talent
Machine learning is on a meteoric rise within the realms of science and business, so tech companies should soon be looking all over for the most talented machine learning engineers they can find. However, engineers who solely specialize in machine learning skills may be few and far between; this, naturally, makes it difficult for companies like yours to find the talented machine learning engineers they need to stay ahead of the curve. There are clever solutions to this talent problem, of course. We have a handful of tips that will help you find great machine learning engineers or people who may become great machine learning engineers.
If At First They Can’t Do It, Teach Them
One of the easiest solutions to the problem of engineers not having machine learning skills is finding the engineers with related skills and teaching them the skills they need to master machine learning programs. Luckily, there are a few tried-and-true related skills that typically lead workers to move onto machine learning. These are data mining, an understanding of R, and Python programming. Workers with these skills on their resumes are worth looking into because they may be ready and willing to learn the machine learning skills your company needs.
Look Outside Your Field to Find Great Talent
While it may seem easier to look within tech and science fields to find machine learning engineers, research shows that many workers with machine learning aptitude are also found in other businesses and sectors. Most of them work in the higher education fields, usually doing research, but there are also large numbers of people with machine learning skills waiting to be pulled from computer programming professions to develop their machine learning chops.
Assist Workers in Pivoting to Your Industry
Although many workers who can excel at machine learning are typically engaged in other industries, the good news is that many of these workers have decided to pivot to machine learning-related fields within the last year. This means that with enough persuasion, you can get these workers to pivot to you. Once again, the field of higher education and research is a great place to find talent, with the surprising fields of finance and banking also providing a great source of ready and able machine learning prospects.
Look for Workers Who Have Specific Skills, then Engineer Them
As stated above, many people with machine learning aptitude already have a firm grasp of other skills. These skillsets usually indicate workers with a high chance of transitioning into machine learning fields: programming, coding, software development, business analysis, big data and data processing, and project management. The best part of these skillsets is their broad range of applications; a diverse team is a great team, and when you find talented individuals with these skills and add machine learning to their repertoire, your company is bound to grow and expand in fantastic ways. This will ensure you and your team lead the industry as it embraces machine learning.
Visit www.PROPRIUS.com for more information on how to improve your team and career. PROPRIUS is an Artificial Intelligence Industry recruiting firm dedicated to projecting organizations to the next level.
If you are ready to accelerate your team, then schedule a 10-minute discovery call at https://PROPRIUS.as.me/Discovery. We have a dedicated search process designed to locate, connect with, and deliver the most talented candidates.
If you are looking to propel your career, then schedule a 30-minute intake call at https://PROPRIUS.as.me/Intake. We identify the top Engineers in the Artificial Intelligence Industry that generate results, create opportunity and inspire others to perform their best work.
Joshua Crawford | Managing Director | PROPRIUS