Machine Learning Algorithm to Generate Job Vacancy Descriptions

Project Description

Background

We are a provider of eRecruitment technology which is used by our clients to manage the workflow of recruiting new hires including the following steps: posting vacancies, providing online application forms, integration of recruitment tests, communication with candidates etc.

We host online job application processes for our clients, where clients create vacancies and applicants typically complete a structured application, upload their resume/CV and provide their LinkedIn profile as part of their job application.

During this process recruiters and line managers need to write vacancy adverts including structured and unstructured information including

•             job title

•             location

•             company

•             industry

•             vacancy type

•             description

•             salary

•             essential and desirable qualifications

•             person specification

•             required skills & experience

•             application form and process

•             shortlist & interview criteria

•             online assessment

•             interview questions

We have a database of 10,000’s of vacancies in similar but different formats.  On provision of the job title, company, location, industry and type we would like to pre-fill the remainder of the vacancy template with suggested text. 

 

Goals

The goal is to develop a solution that automatically recommends how to complete a vacancy templated by pre-filling it based on the vacancy title and other limited information.

 

Deliverables

The solution would need to be developed as a service with an API to work with our proprietary system.

Skills required

API creation

Data management

Predictive modelling

Milestones/deadline

We are looking for a working solution that we can implement into our systems during Q3 2017.