AI Engineer for Automated Candidate Shortlisting

This AI engineer specializes in automated candidate shortlisting, leveraging machine learning and NLP to streamline recruitment. With experience in talent acquisition tech, they build AI-driven systems that scan, rank, and recommend top candidates based on job fit, reducing hiring time and bias. They have developed intelligent parsing models that analyze resumes, match candidates to job descriptions, and provide actionable insights to recruiters. Their expertise ensures a seamless, data-driven hiring process for companies of all sizes.

• AI Resume Screening System – Developed an AI-powered tool that automatically scans thousands of resumes, extracts key details, and ranks candidates based on job descriptions, reducing screening time by 70%.
  
  Bias-Free Candidate Matching – Built an ML-based recruitment system that minimizes unconscious bias by focusing on skills and experience rather than demographic factors, leading to a 30% increase in diversity hires.
  
  Intelligent Interview Chatbot – Designed an AI chatbot that conducts initial candidate assessments through text and voice interactions, automating the first stage of interviews and improving engagement.
  
  ATS Integration for Smart Shortlisting – Integrated AI-powered shortlisting models with leading ATS platforms, allowing companies to instantly filter top talent and improve hiring efficiency.
  
  Predictive Hiring Analytics Dashboard – Created a real-time analytics system that predicts candidate success rates based on historical hiring data, helping HR teams make better data-driven decisions.