Responsibilities:

Develop and execute test plans and test cases for the auto extraction tool.Validate field extraction accuracy from YOLOv9 models and OCR outputs.Perform functional, regression, and performance testing for ML and OCR components.Automate test cases for image preprocessing, model inference, and data extraction pipelines.Identify and document bugs, errors, and edge cases that impact extraction quality.Work closely with ML Engineers to fine-tune model outputs and improve precision.Collaborate with developers to ensure seamless integration and proper handling of extracted data.Monitor and analyze real-world errors, providing feedback to improve accuracy.Maintain detailed QA documentation and contribute to the continuous improvement of testing processes.

Qualifications:

3+ years of experience in software testing, preferably in ML/AI applications.Strong understanding of computer vision and OCR testing methodologies.Experience with test automation tools (Selenium, PyTest, or similar frameworks).Proficiency in Python for writing test scripts.Familiarity with Dockerized environments and testing within containers.Experience working with Azure cloud services is a plus.Ability to analyze model errors and suggest improvements in collaboration with ML Engineers.Strong analytical and problem-solving skills.Experience working in agile development environments.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.