Senior Data Quality & Validation Engineer

Role: Senior Data Quality & Validation Engineer Experience: 5–10Years Location: Remote Notice Period: Immediate Joiners Preferred **Job Description** We are looking for an experienced Data / AI/ML Tester with 5–10 years of experience in software testing, data validation, and AI/ML model testing. The ideal candidate should have strong expertise in validating data pipelines, testing machine learning models, and ensuring the accuracy, reliability, and quality of AI-driven applications. **Key Responsibilities** - Perform functional, integration, regression, and end-to-end testing of Data and AI/ML applications. - Validate data quality, data transformations, ETL/ELT pipelines, and data integrity. - Test AI/ML models for accuracy, performance, consistency, and reliability. - Design and execute test cases, test scenarios, and test scripts for data and ML workflows. - Perform SQL-based data validation and backend testing. - Validate model predictions, outputs, and data processing results against expected outcomes. - Identify, document, track, and report defects using defect management tools. - Collaborate with Data Engineers, Data Scientists, ML Engineers, and development teams. - Support automation testing for data pipelines and AI/ML applications. **Required Skills** - 3–7 years of experience in Data Testing, ETL Testing, AI/ML Testing, or Software Testing. - Strong SQL skills for data validation and backend testing. - Hands-on experience with Python for test automation and data validation. - Experience in ETL/ELT testing and data quality validation. - Understanding of Machine Learning concepts, algorithms, and model evaluation metrics. - Exposure to testing AI/ML applications, predictive models, and data-driven solutions. - Knowledge of API testing using Postman or similar tools. - Experience with test management and defect tracking tools such as Jira. - Familiarity with cloud platforms (AWS, Azure, or GCP) and data platforms is an advantage.