**Role & seniority: ** Data & AI Test Engineer (3–7 years)

**Location & work type: ** Bengaluru; full-time (Immediate joiners preferred)

**Stack/tools: **

SQL (data validation, backend testing)
Python (test automation, data validation)
Postman (API testing)
Jira (defect tracking/test management)
ETL/ELT testing; data pipeline validation
Cloud/data platforms: AWS / Azure / GCP (advantage)

**Top 3 responsibilities: **

Test Data + AI/ML applications using functional, integration, regression, and end-to-end testing
Validate data quality, transformations, and ETL/ELT pipelines (data integrity, expected outcomes)
Test ML models (predictions/outputs accuracy, performance, consistency) and automate test workflows

**Must-have skills: **

3–7 years in Data Testing / ETL Testing / AI-ML Testing / Software Testing
Strong SQL for validation and backend checks
Hands-on Python for test automation
Understanding of ML concepts and model evaluation metrics
Defect identification/reporting with Jira
Basics of API testing (e.g., Postman)

**Nice-to-haves: **

Experience with cloud platforms (AWS/Azure/GCP) and data platforms
Broader familiarity with test automation for data pipelines and AI/ML applications

Full Description

Role: Data & AI Test Engineer

Experience: 3–7 Years

Location: Bengaluru

Notice Period: Immediate Joiners Preferred Job Description We are looking for an experienced Data / AI/ML Tester with 3–7 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.