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AI/ML Tester
4 weeks ago
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)
