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Job Description

Description :



We are seeking an experienced QA Lead to drive the quality strategy for our AI/ML-based software products. The ideal candidate will have hands-on expertise in manual testing, test automation, API testing, and database validation, along with leadership skills to mentor a QA team and ensure the delivery of high quality, scalable, and reliable products.

Responsibilities :



- Define, implement, and own the QA strategy and processes for AI/ML product releases.


- Lead and mentor a team of QA engineers, ensuring best practices in manual and automation testing.


- Design, develop, and maintain automation test frameworks (Selenium, PyTest, or similar).


- Perform API testing (REST / SOAP / GraphQL) using tools like Postman, Rest Assured, or equivalent.


- Validate data pipelines, transformations, and storage with strong database testing (SQL / NoSQL) skills.


- Collaborate with Product, Development, and Data Science teams to ensure quality across AI/ML models and web-based applications.


- Oversee test planning, execution, defect tracking, and reporting.


- Ensure product quality in Linux-based environments and across multiple platforms.


- Drive continuous improvement in test coverage, automation, and QA processes.

Requirements :



- Bachelor's/Master's in Computer Science, Engineering, or a related field.


- 8- 12 years of QA experience, with at least 2+ years in a lead/mentorship role.


- Strong background in manual testing and test automation.


- Hands-on experience with Selenium, TestNG, JUnit, or similar frameworks.


- Solid knowledge of API testing tools (Postman, Rest Assured, etc.).


- Proficiency in SQL / NoSQL databases for data validation.


- Familiarity with AI/ML product testing (model accuracy, performance, and integration) is a strong plus.


- Exposure to Linux/Unix environments.


- Strong problem-solving skills, attention to detail, and effective communication.

Good to Have :



- Knowledge of CI/CD tools (Jenkins, GitLab CI, etc.).


- Experience with cloud platforms (AWS, GCP, Azure).


- Understanding of performance testing and security testing.


- Prior experience in a product-based company.


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