QA Lead- Remote, India

Leewayhertz Technologies; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A technology firm in the United States is seeking an experienced QA Lead to manage the QA team and ensure high-quality AI product delivery. The ideal candidate will have expertise in manual testing, test strategy development, and familiarity with AI/ML products. Responsibilities include comprehensive testing and mentoring junior QA engineers. A solid understanding of testing methodologies and tools such as JIRA is essential.

Qualifications

• Experience in manual testing of AI models, APIs, and user interfaces.
• Strong understanding of software testing methodologies and processes.
• Experience with defect tracking tools.

Responsibilities

• Lead and manage the QA team for high-quality AI products.
• Develop and implement test strategies for AI applications.
• Perform end-to-end manual testing for AI models.

Skills

Manual testing

Test strategies

Mentoring

API testing

Regression testing

Defect tracking

Tools

JIRA

API Testing Tools

Job description

Role & responsibilities

• Understand the values and vision of the organization
• Protect the Intellectual Property
• Adhere to all the policies and procedures
• Lead and manage the QA team, ensuring the delivery of high-quality AI products through comprehensive manual testing.
• Develop and implement test strategies, plans, and processes for AI applications.
• Collaborate with product managers, developers, and other stakeholders to understand requirements and define testing objectives.
• Perform end-to-end manual testing for AI models, APIs, and user interfaces.
• Create and execute detailed test cases, test plans, and test scripts.
• Identify, document, and track defects, ensuring proper resolution and retesting.
• Ensure thorough regression, functional, integration, and system testing is performed.
• Provide mentorship and guidance to junior QA engineers.
• Analyze test results and prepare detailed reports on software quality.
• Continuously work to improve the QA process and ensure adherence to industry standards and best practices.
• Stay updated on the latest trends and tools in QA and AI technologies.
• Expertise in designing complex, data-rich applications or AI-powered products.
• Experience in testing complex, data-driven systems, and AI algorithms.
• Hands-on experience with testing APIs, databases, and front-end/back-end systems.
• Excellent knowledge of software testing methodologies, processes, and tools.
• Experience with defect tracking tools such as JIRA or similar platforms.
• Strong understanding of AI/ML products and the specific challenges of testing AI applications.

Preferred candidate profile

Testing tools for API, database, Front/back-end systems and AI Algorithms.