Matching Candidates to Jobs
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.
JobsPikr provides greater coverage and efficient service by -
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.
- Cost-effective: Reduces the costs and resources involved in hiring by automating several manual processes involved in finding and matching candidates to jobs.
- Automated Candidate Matching: AI-driven algorithms to match candidates to job openings based on their qualifications, skills, and experience to save time and improve the accuracy of the matching process.
- Skills-to-Role Matching: Assess candidates on the skills required for a position by considering not only technical and core skills but also meta-skills through the analysis of detailed skillset requirements per position across locations
- Targeted Job Descriptions: Craft precise and detailed job descriptions to attract the most suitable and qualified candidates for specific roles by providing clear information about the requirements and expectations of the position.
- Diversity and Inclusion: For global workforce requirements, determine talent hotspots across locations for specific skill requirements fostering inclusivity.
To know more about our product or schedule a demo, please get in touch with us.
To know more about our product or schedule a demo, please get in touch with us.
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Discover how JobsPikr Data Feeds and Insights provide comprehensive job data solutions – covering diverse industries and locations – on job market trends, salary data, and hiring patterns.
