Skilled AI engineers are a difficult-find for almost any top company, across business domains. The reason – lack of industry-specific AI skills among candidates appearing in the interviews. Hiring remotely-working AI specialists has become a trend off late in the global business landscape, given the need for Artificial Intelligence (AI) engineers for industry-specific projects that last until a specific period of time. That’s a clear indication to the AI industry aspirants to develop skills keeping in mind a target industry, or business sector. It’s project-based hiring for AI & ML (machine learning) engineers that is in trend instead of recruitment for full-time job roles.

The global pandemic led by Coronavirus spread has further fuelled the hiring of remote AI engineers. As per the Global Leadership Summit held in London, 34% of employers on being asked about their staff working remotely, said that more than 50% of their full-time workforce will be performing their job duties remotely, in 2020.

Tech Giants are Hiring Remote AI Specialists as Added Resources

A lot of tech companies these days are hiring remote AI specialists and engineers from a variety of geographical regions, as they are looking for the best among the best. These remotely-working AI experts are being hired in addition to the current team of AI professionals at the organization. Most of such experts possess a specific set of AI skills that are relevant to a particular industry. If you as an aspirant would like to get employed as a remotely-working AI expert who possesses specialization in a specific industry, enrolling into industry-focused ‘AI engineer certifications’ will help immensely.

3 Steps to Hiring a Right AI Candidate

Determining the Specific Business Needs

In the role of a hiring manager at a tech firm, before you hire an AI professional, you must check for the business-specific needs. These would comprise identifying the amount of training data you possess, how refined is your data, how much cleansing would be required to be done by the new hire to make the data usable for creating an ML (machine learning) model.

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