Job Title

QA Support Engineer – AI/ML (Contract) Work Location: Bangalore (Hybrid) Contract Tenure: 12 Months About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively. KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. Overview Of The Role KX is hiring a QA Support Engineer to ensure the quality and stability of our enterprise and AI-driven applications. This is a contract role where you’ll collaborate with engineering and product teams to validate features, identify bugs, and contribute to continuous testing improvements that support real-time AI and financial analytics platforms. Key Responsibilities Develop and execute manual and automated test cases Perform functional, regression, UI, and smoke testing across platforms Identify, document, and track bugs using tools like JIRA Collaborate with developers to ensure timely resolution of issues Contribute to release validation and continuous QA process improvements Skills QA Methodologies: Strong understanding of test planning, execution, and defect lifecycle Automation Tools: Experience with Selenium, Postman, or similar frameworks CI/CD & Version Control: Familiarity with Git, pipelines, and Agile workflows API & UI Testing: Comfortable testing REST APIs and cross-platform interfaces AI/ML Awareness: Exposure to testing models, data-driven systems, or AI platforms Financial Services Domain: Experience validating applications for data integrity, compliance, and performance in BFSI settings Communication: Strong documentation and collaboration skills across QA and engineering Essential Experience 3–6 years of hands-on experience in software QA or testing roles Strong understanding of QA methodologies, SDLC and defect lifecycle Experience with tools like Selenium, Postman, or similar frameworks Proficiency in writing test cases, logging bugs and preparing QA reports Familiarity with version control (Git) and CI/CD pipelines Good communication and team collaboration skills Preferred Qualifications Experience testing cloud-native or AI/ML platforms Exposure to Python/JavaScript automation scripting Knowledge of performance, security, or API testing tools Location & Workplace Type Hybrid working model based out of Bangalore Why Choose KX Data Driven: We lead with instinct and follow fact. Naturally Curious: We lean in, listen and learn fast. All In: We take ownership, take on challenges and give it our all.