Test Engineer - AI/ML

Review Criteria Strong AI/ML Test Engineer5+ years of overall experience in Testing/QA2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics modelsMust have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparentMust have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelinesMust understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoringMust have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)Candidate must be based within Delhi NCR (100 km radius) Preferred Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage. Job Specific Criteria CV Attachment is mandatoryHave you worked with large datasets for AI/ML testing Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.Are you willing to relocate to Delhi and why (if not from Delhi) Are you available for a face-to-face round Role & Responsibilities 5 years experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics modelsProven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparentHandson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rulesStrong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellersProficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelinesBusiness awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoringEducation Certifications Bachelors masters in engineering CSIT Data Science or equivalentPreferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials Ideal Candidate 5 years experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics modelsProven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparentHandson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rulesStrong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellersProficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelinesBusiness awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoringEducation Certifications Bachelors masters in engineering CSIT Data Science or equivalentPreferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials Review Criteria Strong AI/ML Test Engineer5+ years of overall experience in Testing/QA2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics modelsMust have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transpare