Explainable AI (XAI) Specialist

Design and implement algorithms to improve AI model interpretability.
Conduct research on explainability techniques and their applications.
Collaborate with data scientists to integrate XAI frameworks into AI workflows.
Communicate model insights to stakeholders in clear, non-technical terms.
Ensure AI models comply with ethical standards and regulatory requirements.

Strong understanding of machine learning, deep learning, and XAI frameworks (e.g., LIME, SHAP).
Proficiency in Python and AI libraries like TensorFlow, PyTorch, or Scikit-learn.
Experience with data visualization tools to explain model outputs.
Knowledge of ethical AI practices and data governance.
Bachelor's or Master's in AI, Data Science, or a related field.