The Reliable Jobs is hiring a QA Lead for one of its clients, with a strong focus on automation testing and AI/ML-powered products. This is a particularly interesting opportunity for experienced QA professionals who have moved beyond traditional web testing and have hands-on exposure to validating AI/ML applications.
π Position: QA Lead
π’ Recruiter: The Reliable Jobs
π Location: Remote / India
πΌ Experience: 5+ Years
π Employment Type: Full-Time
β‘ Preference: Immediate Joiners
π€ Critical Requirement: Hands-on AI/ML product testing experience is mandatory
The role emphasizes automation, API validation, performance testing, CI/CD and Agile QA practices. The current listing also describes the opportunity as focused on production-grade AI/ML/GenAI quality engineering.
π’ About The Reliable Jobs
The Reliable Jobs (TRJ) is a recruitment and talent-acquisition company headquartered in Gurugram. Its stated focus includes Web3, AI and Banking talent, connecting companies with specialized technical professionals. The company says it has a talent network exceeding 100,000 candidates and works with organizations looking for specialized technology talent.
For this opening, TRJ is recruiting on behalf of a client, so candidates should distinguish between the recruiting company and the eventual employer. The client’s name has not been disclosed in the supplied job description.
π₯ Why This QA Lead Role Is Excellent for Experienced Professionals
This is not a conventional Selenium-only QA position. The combination of AI/ML testing + automation + API + performance + CI/CD makes it relevant for professionals looking to move toward modern Quality Engineering.
You can gain experience validating AI-driven products while continuing to use established automation technologies. The role also provides exposure to framework development, continuous testing, release quality and potentially mentoring or QA leadership activities. The published role specifically calls for leading QA strategy, maintaining automation frameworks, owning release quality and collaborating with engineering and product teams.
For someone with 5+ years of experience, this combination can strengthen a profile for future positions such as QA Lead, Senior SDET, Quality Engineering Lead, QA Manager or AI Quality Engineer.
π§° Skills Required
πΉ 5+ years of Software QA/Quality Engineering experience
πΉ Mandatory hands-on AI/ML/GenAI product testing
πΉ Selenium, Cypress, Playwright and/or Appium
πΉ Automation framework design and maintenance
πΉ API testing with Postman or equivalent tools
πΉ Functional, regression, integration and end-to-end testing
πΉ Performance testing with JMeter, Gatling or similar tools
πΉ CI/CD and continuous testing
πΉ Git and pipeline integration
πΉ SDLC/STLC and Agile/Scrum
πΉ Defect management and root-cause analysis
πΉ Debugging and problem-solving
πΉ Test strategy and risk assessment
πΉ Strong communication and stakeholder management
πΉ AI/ML validation concepts such as model behavior, data quality, accuracy and regression testing
π― Expected Interview Rounds
Round 1 β Recruiter Screening: Expect questions about experience, AI/ML testing exposure, automation tools, notice period, compensation and remote-work availability.
Round 2 β QA Technical Round: Selenium/Playwright/Cypress, framework architecture, API testing, debugging, test strategy, CI/CD and performance testing are likely areas.
Round 3 β AI/ML Testing Discussion: This is likely the most important round. Be prepared to explain how you tested an AI/ML product, what made the testing different from conventional software testing, and how you measured quality.
Round 4 β Lead/Managerial Round: Expect questions around ownership, risk management, mentoring, release decisions, Agile collaboration and handling production issues.
Round 5 β Client/Final Discussion: Since TRJ is recruiting for a client, a final client-side technical or stakeholder discussion may be included.
π° Expected Salary Range
The supplied vacancy does not specify an official salary range. TRJ’s published vacancies sometimes disclose compensation, but this particular QA Lead listing does not.
For a 5+ year QA Lead/Quality Engineering professional in India with mandatory AI/ML testing, automation and performance-testing experience, a reasonable market-oriented expectation could be around βΉ15β25 LPA, with stronger AI/GenAI expertise potentially pushing compensation higher. This is an indicative estimate, not a confirmed client salary band. Actual compensation will depend on the client, location, current CTC and depth of AI testing experience.
π§ Preparation Tips
π€ Do not prepare only Selenium. The biggest differentiator is AI/ML testing. Be able to explain how you would test an AI-powered feature where the output isn’t always deterministic.
π§ͺ Prepare an AI testing case study: Explain testing of an AI chatbot, recommendation engine, document-processing model or GenAI application.
π Understand AI quality metrics: Learn concepts such as accuracy, precision, recall, hallucination rate, response consistency, latency and robustness where applicable.
βοΈ Revise framework architecture: Be ready to design an automation framework supporting reusable components, parallel execution, reporting and CI/CD.
π Strengthen API testing: Practice authentication, request/response validation, negative testing, schema validation and chaining in Postman.
π Know performance testing: Prepare JMeter/Gatling scenarios covering load, stress, endurance and scalability testing.
π Connect QA with CI/CD: Explain exactly how your automated tests are triggered during a Jenkins/Git-based deployment pipeline.
π― Prepare leadership examples: Have examples showing how you reduced regression time, improved automation coverage, prevented production defects or improved release quality.
π Resume Tips
Your resume should make AI/ML testing immediately visible. Do not hide it under a generic βAutomation Testingβ section.
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Start with a headline such as βQA Lead | AI/ML Testing | Automation | API | Performance | CI/CD.β
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Mention the AI/ML product you tested and explain your testing responsibility.
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Quantify automation achievementsβfor example, regression time reduction or automation coverage improvement.
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Mention Selenium/Playwright/Cypress/Appium based on actual hands-on experience.
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Highlight API testing with Postman and performance testing with JMeter/Gatling.
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Include CI/CD integration and tools such as Jenkins/Git.
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Add Agile collaboration, defect ownership and stakeholder-management experience.
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Mention framework development rather than simply listing automation tools.
A strong resume bullet could be: βDesigned and maintained an automation framework for an AI-powered application, integrating API and UI validation into CI/CD and reducing regression execution time by 60%.β
π© How to Apply
π©roshni.coelho@thereliablejobs.com
Interested candidates can share their updated CV with Roshni Coelho at roshni.coelho@thereliablejobs.com or contact the recruiter through the relevant recruitment channel. The supplied posting specifically requests applications via email.
π Final Verdict
This is a strong opportunity for QA professionals who want to transition from traditional automation into AI-focused Quality Engineering. The most important requirement is real hands-on AI/ML product testing experienceβnot merely having used ChatGPT or completed a basic AI project.
If your background combines 5+ years of QA, automation framework development, API testing, performance testing, CI/CD and genuine AI/ML testing, this role is worth targeting. The winning profile will demonstrate not only how to automate tests, but also how to determine whether an AI-powered product is reliable, performant, consistent and production-ready.
