PeopleSoft Talent Acquisition is a comprehensive software solution designed to streamline and manage the recruitment process. It facilitates the entire hiring lifecycle, from requisition creation and candidate sourcing to application tracking and onboarding. The system enhances recruitment efficiency by integrating with other HR functions, providing tools for job posting, applicant screening, interview scheduling, and offer management.
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About PeopleSoft Talent Acquisition
PeopleSoft Talent Acquisition was developed as part of the PeopleSoft suite by PeopleSoft, Inc. to address the growing need for efficient recruitment management in organizations. It aimed to automate and streamline the hiring process, making it easier for HR departments to manage job postings, track applicants, and facilitate onboarding. The software became a key component of PeopleSoft's broader human capital management offerings before Oracle Corporation acquired PeopleSoft in 2005.
Strengths of PeopleSoft Talent Acquisition included its comprehensive integration with other HR systems, robust functionality for managing the entire recruitment process, and strong reporting capabilities. Weaknesses involved a complex user interface and potentially high implementation costs. Competitors included SAP SuccessFactors, Workday Recruiting, and Taleo.
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How to hire a PeopleSoft Talent Acquisition expert
A PeopleSoft Talent Acquisition expert must have skills in PeopleSoft HRMS, including configuration and customization of the Talent Acquisition module. Proficiency in PeopleTools, such as Application Designer and PeopleCode, is essential. Knowledge of SQL for database management and reporting, as well as experience with integration tools like Integration Broker, is crucial. Understanding of workflow automation and security administration within PeopleSoft is also important.
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Luiz A.
Machine Learning/AI Engineer
Skills
Google ViT (Vision Transformer)
Rpl
Recruitee
Bio
Hire LuizA proficient researcher and developer with significant expertise in biological molecular research and diagnostic imaging technologies, specializing in public health solutions. Developed and assembled hardware for diagnostic equipment, leading to the publication of three Python packages aimed at enhancing system functionality. Experienced in computer vision, having designed feature extractors and combiners that utilize machine learning methodologies for data analysis. Holds a Master's degree in Materials Engineering and Sciences and a Bachelor's degree in Physics from a leading institution, demonstrating a solid foundation in scientific principles and applications.
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