--This paper introduces an innovative Applicant Tracking System (A TS) enhanced by a novel Robotic process automation (RPA) framework or as further referred to as MLAR. Traditional recruitment processes often encounter bottlenecks in resume screening and candidate shortlisting due to time and resource constraints. MLAR addresses these challenges employing Large Language Models (LLMs) in three distinct layers: extracting key characteristics from job postings in the first layer, parsing applicant resume to identify education, experience, skills in the second layer, and similarity matching in the third layer . These features are then matched through advanced semantic algorithms to identify the best candidates efficiently. Extensive performance benchmarking shows that MLAR outperforms the leading RPA platforms, including UiPath and Automation Anywhere, in high-volume resume-processing tasks. When processing 2,400 resumes, MLAR achieved an average processing time of 5.4 seconds per resume, reducing processing time by approximately 16.9% compared to Automation Anywhere and 17.1% compared to UiPath. These results highlight the potential of MLAR to transform recruitment workflows by providing an efficient, accurate, and scalable solution tailored to modern hiring needs.

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Looking for an engineer to build machine learning models with our data science team. Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance.

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. With our success over the past 10 years, we are ready to move beyond our current technologies and build the next generation ML Platform to align with our current business needs as we continue to grow. Currently using a custom setup, we handle 1.5 billion ML inferences per second, every day. We are now building a new ML platform to support neural networking in order to increase the intelligence of our models.

Here is a faster way to streamline your hiring process with the world's leading applicant tracking system. Now make the right hires, in lesser time, and free of cost. Your Recruitment Automation is just one click away! Create jobs in a single platform and track progress on the jobs. Create jobs in a single platform and track progress on the jobs.

Resume parsing is a tool that analyzes a CV or a resume document and converts it into structured information for reporting, storing, analyzing, and screening. For a long time now, resumes have been screened and shortlisted manually. Recruiters would have to look through each resume separately and screen them based on skills, experience, education, etc. This process of shortlisting candidates took an immense amount of time and increased the cost of hire. This method also makes the company lose quality candidates as recruiters usually go through thousands of resumes and then shortlist until one is selected.

An Applicant Tracking System (ATS) smoothes out the recruitment cycle by assisting hiring managers with making job postings, distributing them to company websites and job boards, screening candidates, following their status, putting away their data, and improving the last strides of the recruiting cycle when an offer is extended. Instead of dehumanizing the hiring process using Artificial Intelligence (AI), these systems tend to be equipped with AI functionality that impersonates the human thought process. ATS features are specifically designed to scan resumes for key information in the same manner that a recruiter would but without wasting the recruiter's time on mundane elimination work. Most hiring managers receive 100s of resumes per job opening. Applying for a job has become a very easy process and almost anybody can do so.

HackerEarth, a leading developer assessment solutions provider, announced a partnership with JazzHR, the leading recruiting software provider for small and medium-sized businesses. "Partnering with a robust, scalable Applicant Tracking System like JazzHR will streamline the hiring process for our users and enable JazzHR clients to make quality hires based on the most accurate assessment of developer candidates," said Sachin Gupta, CEO and Co-founder of HackerEarth. "Recruiters traditionally use several siloed platforms to source and hire talent, which creates inefficiencies for an already cumbersome process. This integration provides a single pane of glass for recruiters to source, screen and track candidates." It's a major challenge today to find and recruit qualified developers, especially with the current talent shortage and high demand.

Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field. There are a few simple steps you can take to build a resume that gets noticed. If you haven't heard of an Applicant Tracking System (ATS), it's software used by companies that receive lots of job applications, and it chooses which applications to forward to the hiring manager and which applications are automatically responded to with a rejection letter. There has been a movement lately to create these gorgeously designed resumes. You'll see people "Tableau-ize" their resume (ie -- creating a resume using Tableau), include logos, or include charts that are subjective graphs of their level of knowledge in certain skill sets.