HR Candidate Recommendation System Development

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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HR Candidate Recommendation System Development
Medium
~1-2 weeks
FAQ
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Implementation of HR Candidate Recommendation System

HR recommendations work both ways: system matches candidates to vacancy and vacancies to candidate. Complexity: matching unstructured data (resume, JD), soft skills accounting, diversity requirements and compliance constraints. Plus cannot use age, gender, nationality as features.

Semantic Matching

Semantic matching with sentence-transformers gives 20-30% higher accuracy than keyword matching. Screening time for 100 resumes reduces from 3-4 hours to 15-20 minutes. Important: all features must be skills/experience based, without demographic data. Regular bias audit recommended (disparate impact analysis).