Machine Learning and AI for E-recruitment

Project Description

We are an Applicant Tracking System (ATS) solution for HR professionals and recruiters. 

Problem:  Identify the best talent based on historical data, social media and information submitted.

Expert and Skills:

Using existing unstructured data and structured data from variety sources (document, social profile, resume, skill setup, database fields) and historical hiring information from the client to build a statistical model and algorithm tailored to specific clients hiring process and industries. And use the model to perform machine learning and further refine the model and algorithm moving forward to be able to identify the top talent for any new applicant.

Person will have knowledge of using varies technique and Platforms - Hadoop, Spark, Mapreduce, Distributed computing, and predictive analytics with big data to build a model/algorithm that can be trained and perform deep learning and update based on the data set provided.

Deliverables: The deliverable is an algorithm/model/platform that can be used to work with existing HR system as stand alone product.