Hiring the best candidate for your company can be a challenging process, especially when you have a vast pool of applicants to choose from. The process of sorting through countless resumes to find the perfect fit can be time-consuming and overwhelming. You don't have to struggle anymore. With the advancement of technology, Artificial Intelligence (AI) can make the hiring process more efficient and less stressful for you. In this blog post, we will explore how iRekommend's HR AI module can help you choose the best candidate out of a large pool of applicants.
1. iRekommend Can Filter Resumes Based on Job Description:
One of the challenges of hiring is identifying the right candidate who has the required skills, experience, and education to do the job. Thanks to AI, you can now upload resumes and job descriptions and let the system rank the resumes based on fitment with the job role. This process saves you time and ensures that you only consider resumes that meet your criteria.
Provide the job title, job description and years of experience required (optional). Upload the resumes in zip format to be processed.
See the image below on how to best fill out the details.
2. iRekommend Can Provide Matching Scores:
AI can provide matching scores that indicate how closely a resume matches the required job description. This score is based on several factors, including job history, education, skills, and experience. The higher the score, the closer the candidate is to being a perfect fit. This feature not only helps you filter through countless resumes but also ensures that you don't miss out on a candidate who might be the perfect fit.
As you can see, the candidate is a full stack Java developer with AWS experience which was automatically determined by AI and hence the highest matching score was produced.
4. iRekommend Can Identify Missing Keywords:
In addition to providing matching scores, iRekommend can identify missing keywords on each candidate's resume. This feature ensures that you don't overlook candidates who have the right skills but might have used different terminologies to describe their experience. Identifying missing keywords helps you avoid rejecting qualified applicants that would have excelled in the job.
As you can see below, while the candidate is AWS architect, the very important keyword pertaining to the job description - Microservices was missed out in the resume.
The matching score is low, because the candidate was AWS Infrastructure architect, but the in the job description, the recruiter was looking for AWS developer.
4. iRekommend Can Help Prevent Bias in Hiring:
AI can help you avoid unintended bias in the hiring process by removing personal information such as age, gender, and race from candidate resumes. This feature ensures that candidates are only evaluated based on their qualifications, skills, and experience. Hiring the best candidate who matches the job description should be your only aim, and AI ensures that this is what you achieve.
5. iRekommend Can Improve Your Hiring Process:
The best part about using AI in hiring is that it continuously learns from the entire process. From applicant screening to the final hiring decision, AI records the data and feedback from the process. This information helps you improve your recruitment process by highlighting what works and what doesn't.
How are we doing this?
The Technology leverages the #generativeAI capabilities from Google's Vertex AI platform which leverages PALM2 models, but custom trained by iRekommend's Data Science Team. Like #hrgpt and OpenAI's chatgpt, the custom models provide superior functionality and performance to drive significant HR transformation.
Comments