Senior Quality Engineer-5-8 years-Mumbai

Senior Quality Engineer (AI & Data Platforms) | 5+ Years | Mumbai/Pune Summary An exciting opportunity for experienced Quality Engineering professionals to work on AI-powered products, data platforms, and next-generation enterprise solutions. You will play a key role in ensuring quality across AI/LLM applications, cloud-native data pipelines, and automation frameworks while contributing to innovative technology initiatives. This role offers excellent exposure to AI testing, data engineering, cloud technologies, and enterprise-scale quality assurance. Location Mumbai | Pune Your Future Employer A leading global analytics and technology organization delivering cutting-edge AI, data, and digital transformation solutions for enterprise clients across multiple industries. Responsibilities Quality Engineering & AI Validation Validate AI/LLM outputs against authoritative data sources, ensuring accuracy, completeness, and minimal hallucinations. Define quality benchmarks and production sign-off criteria for AI-powered applications. Perform model comparison testing across multiple LLM providers and versions to support release decisions. Data Pipeline Testing & Automation Test end-to-end cloud-native data pipelines, including schema validation, transformation logic, data lineage, and cross-source consistency. Build and maintain scalable automation frameworks for validation, regression, anomaly detection, and transformation testing. Design and execute performance testing for AI agents, APIs, and inference endpoints. Requirements 5+ years of Quality Engineering experience, preferably with AI/ML or data-intensive applications. Hands-on experience with Snowflake, Databricks, Spark, SQL, and enterprise data pipeline testing. Strong experience testing LLM/Generative AI applications, including prompt evaluation and hallucination detection. Proficiency in Python for building scalable automation frameworks. Experience with Git, CI/CD pipelines, API testing, and cloud platforms such as Azure, Databricks, or Kubernetes. What's in it for you Opportunity to work on cutting-edge AI, Generative AI, and enterprise data platforms. Exposure to cloud-native technologies, automation frameworks, and large-scale digital transformation programs. Collaborate with cross-functional teams on innovative, business-critical technology initiatives. Hybrid work environment with excellent learning and career growth opportunities. Be part of a collaborative, technology-driven organization focused on innovation and quality excellence. Reach Us If this opportunity aligns with your career aspirations, please share your updated CV at Suleka.k@crescendogroup.in for a confidential discussion. Disclaimer Crescendo Global specializes in senior to C-level niche recruitment. We are committed to providing equal employment opportunities and do not discriminate on any basis. Due to the high volume of applications, only shortlisted candidates will be contacted within one week. Scam Alert We do not charge any fees at any stage of the hiring process. Please verify opportunities through official channels and report any suspicious activity. Keywords: Quality Engineer, Senior Quality Engineer, AI Testing, LLM Testing, Generative AI, Data Pipeline Testing, Snowflake, Databricks, Spark, SQL, Python, Test Automation, API Testing, Azure, Kubernetes, CI/CD, Quality Assurance, Data Engineering, AI Products, Enterprise Applications, Digital Transformation, Crescendo Global. Senior Quality Engineer (AI & Data Platforms) | 5+ Years | Mumbai/Pune Summary An exciting opportunity for experienced Quality Engineering professionals to work on AI-powered products, data platforms, and next-generation enterprise solutions. You will play a key role in ensuring quality across AI/LLM applications, cloud-native data pipelines, and automation frameworks while contributing to innovative technology initiatives. This role offers excellent exposure to AI testing, data engineering, cloud technologies, and enterprise-scale quality assurance. Location Mumbai | Pune Your Future Employer A leading global analytics and technology organization delivering cutting-edge AI, data, and digital transformation solutions for enterprise clients across multiple industries. Responsibilities Quality Engineering & AI Validation Validate AI/LLM outputs against authoritative data sources, ensuring accuracy, completeness, and minimal hallucinations. Define quality benchmarks and production sign-off criteria for AI-powered applications. Perform model comparison testing across multiple LLM providers and versions to support release decisions. Data Pipeline Testing & Automation Test end-to-end cloud-native data pipelines, including schema validation, transformation logic, data lineage, and cross-source consistency. Build and maintain scalable automation frameworks for validation, regression, anomaly detection, and transformation testing. Design and execu