The applicant screening process can be time-consuming and resource-intensive, particularly when it comes to processing a large volume of resumes and CVs. To improve this process, JobsPikr uses machine learning-inferred skills normalization, collating upwards of 135,00 terms that describe over 9,000 unique skills.
The automation of this process allows for sophisticated skill matching with the pool of job requirements for over 8 million jobs every month. With this approach, the accuracy of matching the right candidate to the right job is tremendously increased saving time.
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