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MACHINE LEARNING TECHNOLOGIES LLC is seeking a Quality Assurance Analyst to join a collaborative technology team supporting business-critical software initiatives. You will own testing activities across the software development lifecycle, from requirements review to release readiness, in a fast-paced environment.
The role emphasizes hands-on test planning, data-testing with SQL/XML, and applying Generative AI tools to improve coverage and productivity.
Job ID: J53608
Job Title: Quality Assurance Analyst
Location: New jersey, NJ
Duration: 12 Months + Extension
Domain Exposure: Utilities/ Energy
Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
We are seeking a Quality Assurance Analyst or Senior Quality Assurance Analyst to join a collaborative technology and quality assurance team supporting business-critical software initiatives. This is an immediate opportunity for an experienced QA professional who can own testing activities across the software development lifecycle while helping advance the use of automation and Generative AI in quality engineering.
Candidates most likely to secure an interview will bring 3-10 years of software testing and/or Property & Casualty (P&C) insurance experience, strong hands-on test management skills, data-testing capabilities, and practical experience using Generative AI tools to improve QA productivity and coverage.
You will help ensure software releases meet established quality expectations by taking ownership of structured testing activities from requirements review through release readiness. The role requires close partnership with developers, business analysts, project managers, UAT stakeholders, and other cross-functional contributors.
Beyond traditional QA execution, you will be expected to identify practical ways to incorporate AI-assisted testing and emerging QA technologies into existing processes. Success means improving test coverage, increasing testing efficiency, identifying defects early, maintaining clear quality reporting, and helping stakeholders make informed release decisions.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.