Job Title: QA Engineer – AI Platform Testing Location: India (Willing to Travel Frequently or Relocate to Abu Dhabi) Experience: 5+ Years Company: NorthBay Solutions About The Role NorthBay Solutions is looking for a QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems. Key Responsibilities Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations. Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar). Conduct manual and exploratory testing for AI model outputs and user workflows. Validate training datasets, detect anomalies, and evaluate model-generated content. Log and track defects with comprehensive documentation using bug tracking tools. Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria. Contribute to regression testing cycles and final release validations. Required Skills & Qualifications 5+ years of professional experience in QA or software testing. Proven experience in QA automation using Java. Solid understanding of Agile methodologies, QA processes, and test lifecycle management. Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps). Strong experience with API testing tools such as Postman. Excellent analytical skills and attention to detail. Preferred (Nice to Have): Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems. Experience validating training data quality and evaluating model behavior in production environments. About NorthBay Solutions NorthBay Solutions is a leading cloud-native and AI-focused digital transformation company. We specialize in helping enterprises modernize their applications and data ecosystems to accelerate innovation and business growth.
Job Title: QA Engineer – AI Platform Testing Location: India (Willing to Travel Frequently or Relocate to Abu Dhabi) Experience: 5+ Years Company: NorthBay Solutions About The Role NorthBay Solutions is looking for a QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems. Key Responsibilities Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations. Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar). Conduct manual and exploratory testing for AI model outputs and user workflows. Validate training datasets, detect anomalies, and evaluate model-generated content. Log and track defects with comprehensive documentation using bug tracking tools. Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria. Contribute to regression testing cycles and final release validations. Required Skills & Qualifications 5+ years of professional experience in QA or software testing. Proven experience in QA automation using Java. Solid understanding of Agile methodologies, QA processes, and test lifecycle management. Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps). Strong experience with API testing tools such as Postman. Excellent analytical skills and attention to detail. Preferred (Nice to Have): Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems. Experience validating training data quality and evaluating model behavior in production environments. About NorthBay Solutions NorthBay Solutions is a leading cloud-native and AI-focused digital transformation company. We specialize in helping enterprises modernize their applications and data ecosystems to accelerate innovation and business growth.
As a QA Engineer at NorthBay Solutions, you will play a crucial role in supporting testing efforts across AI-driven platforms. Your primary responsibility will be to ensure the functional accuracy, performance, and quality of features while also contributing to the validation of AI model outputs, training data quality, and overall user experience across web and API-based systems. You will be tasked with designing, writing, and executing test cases to validate features, APIs, and end-to-end system integrations. Additionally, you will be responsible for developing and maintaining automated test scripts using Java-based frameworks such as Selenium, TestNG, or similar tools. Manual and exploratory testing for AI model outputs and user workflows will also be a part of your responsibilities. Collaboration with Machine Learning, Development, and Automation teams will be essential as you define test strategies and acceptance criteria. Furthermore, you will contribute to regression testing cycles and final release validations. Strong analytical skills, attention to detail, and a solid understanding of Agile methodologies, QA processes, and test lifecycle management are key requirements for this role. To be successful in this position, you should have at least 5 years of professional experience in QA or software testing, with proven expertise in QA automation using Java. Hands-on experience with test management tools like TestRail, Zephyr, defect tracking tools such as JIRA, Azure DevOps, and API testing tools like Postman is also required. Exposure to AI/ML concepts and experience in validating training data quality and evaluating model behavior in production environments would be considered a plus. Join NorthBay Solutions, a leading cloud-native and AI-focused digital transformation company, and be part of a team that specializes in helping enterprises modernize their applications and data ecosystems to drive innovation and business growth.,