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Development of an AI-Powered Talent Acquisition Platform for IT Professionals
  1. case
  2. Development of an AI-Powered Talent Acquisition Platform for IT Professionals

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Development of an AI-Powered Talent Acquisition Platform for IT Professionals

light-it.net
Human Resources
Information technology

Challenges in Talent Acquisition and Job Search Processes

Traditional talent acquisition and job search processes were time-consuming, inefficient, and often resulted in mismatches between candidates and employers. Employers struggled to identify suitable IT professionals, while job seekers faced difficulties locating relevant opportunities, leading to prolonged hiring cycles and unsatisfactory hires.

About the Client

A US-based HR & Recruitment company aiming to become a digital bridge between IT professionals and companies seeking tech experts.

Objectives for Developing the AI-Powered Job Portal

  • Create a multifunctional AI-driven platform to streamline talent acquisition for IT professionals
  • Enhance matching accuracy between employers and candidates using machine learning
  • Implement secure, role-specific dashboards for companies and professionals
  • Develop an intuitive in-app communication system to facilitate direct interaction
  • Introduce advanced search, filtering, and compatibility metrics for efficient decision-making

Core Functionalities for the AI-Based Job Portal

  • AI-driven job and candidate matching algorithms
  • Personalized dashboards for employers and professionals
  • In-app messaging system for direct communication
  • Document upload functionality (resumes, certificates)
  • Advanced search and filtering system with compatibility metrics
  • Recruitment pipeline tracking and visualization tools

Technology Stack for Platform Development

Python
Django
Node.js
React
PostgreSQL
nginx

Third-Party Integrations

  • AI/ML training frameworks
  • Document processing APIs
  • Analytics tools

Non-Functional Requirements

  • Scalability to support 1M+ active users
  • High-performance AI model training capabilities
  • Enterprise-grade data security and role-based access control
  • Cross-device compatibility (mobile-friendly design)

Expected Impact of the AI-Powered Talent Acquisition Platform

The platform is projected to reduce hiring cycle times by 40-60%, increase candidate-employer match accuracy through AI-driven metrics, and support scalable growth for both job seekers and employers. By centralizing recruitment processes in one AI-optimized system, it will significantly improve user satisfaction while maintaining robust security and operational efficiency.

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