When it comes to job hunting, there is no other place than the largest professional and employment-oriented service platform LinkedIn. With hosting over 20 million active job postings, the largest hiring marketplace has been continuously developing its platform with the help of using intelligent models to optimise various processes such as job postings, job recommendations, handling abusive contents and much more. To the latest, the developers at LinkedIn recently unveiled a new deep learning model known as Job2Questions. Using it, recruiters can ask screening questions online to filter qualified candidates easily. The professional social networking platform has many conventional on-demand services and state-of-the-art machine learning models that help millennials and professionals in the global workforce. The developers stated that the primary goal is to match jobs with qualified applicants and improve hiring efficiency while reducing the requirement of manually screening each applicant.

LinkedIn is using AI and machine learning to generate screening questions for active job postings. In a paper published this week on the preprint server Arxiv.org, This isn't just theoretical research -- Job2Questions was briefly tested across millions of jobs by hiring managers and candidates on LinkedIn's platform. The timing of Job2Questions' deployment is fortuitous. Screening is a necessary evil -- a LinkedIn study found that roughly 70% of manual phone screenings uncover missing basic applicant qualifications.