AI Automation QA Manager

AI Automation QA Manager at Zealogics Inc AI Automation QA Manager at Zealogics Inc in Fort Lee, New Jersey Posted in 3 days ago.

Type:

full-time

Job Description:

Company Description Zealogics Inc specializes in IT and Engineering Services, providing innovative solutions across Mechanical, Electronics, and Software platforms to facilitate digital transformation. With a focus on customer-centric product strategies and automation frameworks, Zealogics streamlines processes to deliver high-quality results. Serving Fortune 500 enterprises and OEMs, the company prioritizes client satisfaction by connecting experienced professionals to address complex challenges. Integrity and a commitment to long-term partnerships define Zealogics, as they strive to provide their clients with tangible value and world-class services for both full-time and contractual needs. Role Description We are seeking an AI Automation QA Manager for a contract role with Zealogics Inc. This hybrid position, based in North Bergen, NJ, offers a combination of onsite and work-from-home flexibility. The AI Automation QA Manager will oversee automation quality assurance processes for AI systems, develop and manage testing strategies, and ensure software aligns with business requirements. Daily responsibilities will include leading automation testing efforts, collaborating across cross-functional teams, creating automation frameworks, and analyzing results to enhance continuous improvement processes. Qualifications Proficiency in Automation Testing, developing QA methodologies, and creating test automation scripts Knowledge of AI and machine learning systems, algorithms, and frameworks Experience with test planning, design, and execution to validate software functionality and quality Strong abilities in problem-solving, debugging, and applying improvements Expertise with tools such as Selenium, JIRA, and similar QA automation platforms Strong communication, organizational, and time-management skills Ability to collaborate effectively with cross-functional teams and manage projects within deadlines Educational background in Computer Science, Engineering, or a related discipline (Bachelor's degree preferred) Experience in the IT or Engineering sector is advantageous but not required Familiarity with Agile/Scrum methodologies is a plus