QA Engineer is responsible to certify the quality of the software products used by our clients. They are typically web applications that require manual and automation testing for functionality and performance.  This is done through formulating effective test case, test plan; maintaining them and executing them.  Good interpersonal skills are required for effective communication with the Business and Development teams.

Technical Skills 

• Design and execute test strategies for AI/ML models, including data, training, and prediction validation.
• Verify model accuracy, performance, and fairness against defined acceptance criteria.
• Perform data quality and feature validation checks.
• Automate model validation and integrate with CI/CD pipelines.
• Monitor deployed models for drift, performance degradation, and anomalies.
• Collaborate with data scientists, MLOps, and QA teams for continuous validation and improvement.

 General Responsibilities

• Test to break attitude
• Flexible in working under changing and different work settings.
• Maintain high team morale.
• Adhere to company and project standards and guidelines
• Excellent communication

Neudesic is an Equal Opportunity Employer

Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen