Description:

- 5 years experience in testing AIML models and datadriven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models

- Proven 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 transparent

- Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules

- Strong 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 buyerssellers

- Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Pythonbased data validation libraries Jupyter with ability to integrate into CICD pipelines

- Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring

- EducationCertifications Bachelorsmasters in engineeringCSITData Science or equivalent

- Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials