Key Responsibilities:

· Design and execute validation frameworks for AI/ML models

· Assess model performance using appropriate metrics (e.g., precision, recall, F1 score, ROC-AUC) and statistical tests.

· Collaborate with data engineers, ML engineers, and domain experts to understand model objectives and data sources.

· Develop and maintain documentation of validation processes, findings, and recommendations.

· Conduct stress testing and scenario analysis to evaluate model robustness.

· Ensure compliance with internal governance and external regulatory standards (e.g., GDPR, AI Act).

· Communicate validation results to technical and non-technical stakeholders through clear visualizations and reports.

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Qualifications:

· Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

· 3+ years of experience in data science or machine learning, with a focus on model validation or evaluation.

· Proficiency in Python and experience with ML libraries

· Strong understanding of statistical modeling, hypothesis testing, and data visualization.

· Experience with model governance frameworks and ethical AI principles.

· Excellent communication and documentation skills.

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· Knowledge of explainable AI (XAI) techniques and tools (e.g., SHAP, LIME).

· Experience with cloud platforms (Azure)