Job Title : AI / ML Tester
Location : Bangalore
Experience : 46 Years
Job Type : Full-time
Role Overview :
We are seeking an experienced AI / ML Tester to support our AI and Data Science teams in validating, verifying, and ensuring the quality of AI / ML models, workflows, and data pipelines. This role requires a strong grasp of SDLC / STLC processes, Agile methodologies, and hands-on experience with testing AI / ML-driven solutions. You will collaborate closely with data scientists, developers, and product teams to ensure the delivery of accurate, reliable, and high-performing AI solutions.
Key Responsibilities :
Test Planning & Analysis :
- Analyze system specifications, user stories, and technical documentation to extract functional and non-functional requirements.
- Design comprehensive test strategies, test plans, and test cases tailored for AI / ML workflows and data pipelines.
Test Execution & Validation :
Execute manual and automated tests for AI / ML models, APIs, and integrated systems.Validate model outputs against business requirements and expected performance metrics.Perform data validation, data integrity checks, and edge-case testing to ensure AI models perform reliably across datasets.Defect Management & Reporting :
Identify, document, and track defects with detailed reproduction steps using tools like JIRA.Work closely with development and data science teams to troubleshoot, debug, and resolve issues.Process & Methodology :
Apply Agile testing methodologies within sprint cycles, participating in daily stand-ups, sprint planning, reviews, and retrospectives.Ensure testing aligns with best practices in AI / ML model validation, including fairness, bias detection, and explainability considerations.Mandatory Skills & Qualifications :
Strong understanding of SDLC and STLC principles.Proven hands-on experience in Agile testing methodologies.Experience testing AI / ML-based applications, workflows, or APIs.Ability to prepare detailed test cases, test scenarios, and test data.Proficiency in defect tracking and reporting using tools like JIRA.Strong analytical, logical reasoning, and problem-solving abilities.Preferred / Good-to-Have Skills :
Exposure to ML model validation techniques (accuracy, precision, recall, F1-score, etc.).Familiarity with Python or SQL for data validation and test automation.Understanding of REST APIs and microservices testing.Knowledge of data visualization tools for test reporting.(ref : hirist.tech)