Senior AI QA Test Analyst

About the role

Nasdaq Corporate Platform is looking for a passionate Test Automation Specialist (AI) with a focus on software testing for AI based products, to join the Bangalore technology center in India. If Innovation and effectiveness drive you forward this is the place for you! Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. As a Test Automation Specialist (AI), you will play a key role in the delivery of complex technical systems of varying sizes to new and existing customers and will be part of discovering new technologies within the FinTech industry. We are now looking for a Test Automation Specialist (AI) to strengthen the Engineering team in Bangalore. You will be responsible for testing and making test strategy and execution for AI based products within Investor Relations and Sustainable Lens Software Products . We are looking for candidates who share those values along with a genuine desire and drive to deliver top technology solutions to today's markets. With this position we offer Join the engineering organization for Nasdaq Investor Relations and Sustainable Lens products. The main objective for the team in Bangalore is to build innovative IR and ESG solutions for corporates. As our new member, you will work with a group of enthusiastic and expert team members. Together with your team, you will be responsible for delivery of enhancements and supporting rearchitecture of the enterprise product to new software paradigms. Your role and responsibilities: We are seeking a highly skilled Test Automation Specialist to join our AI product development team. The ideal candidate will have expertise in designing and implementing automated testing frameworks for sophisticated AI and machine learning systems. Furthermore, you will: Develop and maintain comprehensive automated test suites for generative AI models, including language models,and multimodal systems Create innovative testing strategies to validate the quality, coherence, and safety of AI-generated content Design and implement automation frameworks to test generative AI products across multiple platforms and use cases Collaborate closely with AI researchers, data scientists, and product developers to understand product requirements and unique testing challenges of generative systems Develop tools and scripts to generate diverse test data sets and simulate real-world generative AI scenarios Implement automated tests for prompt engineering, fine-tuning processes, and model versioning Continuously improve testing methodologies to keep pace with constantly evolving generative AI technologies Analyze test results and provide detailed reports on model performance, potential biases, and areas for improvement We expect you to have Bachelor's or Master's degree in Computer Science, AI/ML, or related technical field 2-4 years of experience in software test automation, with at least 2 years focused on AI/ML systems, preferably generative AI Strong programming skills in Python. Solid understanding of AI/ML algorithms and ability to validate their accuracy, bias, and performance. Expertise in test automation tools and frameworks suitable for AI testing tools/frameworks like RAGAS, Deep eval, TrueLens, AWS Bedrock Evaluator, pytest, Robot Framework. Experience in testing AI-driven applications , including data validation, model performance validation, and AI explainability. Strong analytical and problem-solving skills, with a deep understanding of AI risks and mitigation strategies. Solid experience in reviewing architectures, test strategies, and automation frameworks . Knowledge of statistical analysis, probability, and mathematical modeling to validate AI systems. Experience with AWS Bedrock, vectorized databases, and Sonnet/LLM algorithms . Experience in performance testing of AI models and large-scale distributed systems. It would be great if you Experience with cloud platforms (AWS) for AI deployment and testing at scale Familiarity with containerization and orchestration tools (Docker, Kubernetes) Knowledge of vector databases. Does it sound like you? What happens now? As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks. What will it be like working here? Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that accepts work-life balance and fdevelopwell-being. Come as you are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ance