What To Look For When Hiring AI Researchers
- AI programming skills: This one goes without saying, but coding skills is a given for any professional in the AI and data science domain. The best programming languages for AI development currently are Python, Lisp, Prolog, R, C/C++ and Java. Out of these languages, Python is most preferred by both tech companies and AI researchers themselves, possibly because of its ease of use.
- Analytical thinking: Since artificial intelligence is closely intertwined with data analysis, analytical skills are necessary for potential AI researchers. Having good analytical skills translates into the ability to:
-make sense of data
-verify the validity of the data gathered
-identify connections between different variables, and
-form logical conclusions based on the available data.
These skills are required to help AI researchers create functional algorithms to analyze data to power AI systems.
- Innate inquisitiveness: An innate propensity to ask questions and the ability to ask the ‘right’ questions is key for AI researchers, since asking questions is necessary to identify the different kinds and sources of data required for analysis. Asking the questions ‘why’ and ‘how’ enough helps in breaking down problems to their roots and devising effective solutions for the most complicated problems.
- Creativity: Since AI research is innovative and exploratory by nature, creativity is a highly desirable quality in AI talent. Creativity and lateral thinking allow AI researchers to engage in the hypothesis of ‘what if’ scenarios, which can lead to breakthroughs and progress along entirely new avenues and can contribute to the expansion of AI capabilities to an unimagined extent.
- Relevant interests and passions: AI researchers whose passions align with your industry of focus are necessary to lead successful AI projects that benefit your organization. For instance, if your organization operates in the healthcare industry, hiring AI researchers with a passion for and knowledge about the sector will be much more beneficial than ones without. The closer an AI researcher’s interests and industry experience aligns with expectations, the greater the effectiveness of your AI endeavors.
The AI revolution is happening and is increasingly gaining traction among organizations in various industries, regardless of whether you want it to happen or not and regardless of your preparedness for it. Just how the discovery of oil led to organizations quickly switching to oil-powered processes, the invention of AI has led to companies scrambling to gather AI researchers and data scientists to gain technological advantage over their peers and to not be left behind. So, what will you do during this period of rapid, revolutionary transition? Will you lead the change or risk being left behind?
Naveen Joshi is Founder and CEO of Allerin, which develops engineering and technology solutions focused on optimal customer experiences. Naveen works in AI, Big Data, IoT and Blockchain. An influencer with a half a million followers, he is a highly seasoned professional with more than 20 years of comprehensive experience in customizing open source products for cost optimizations of large scale IT deployment.