We are looking for an experienced AI Forensic Analyst to evaluate, audit, and investigate AI systems to ensure transparency, fairness, and reliability in AI-driven solutions.

Role Overview

As an AI Forensic Analyst, you will analyze AI model behavior, investigate model failures, and detect potential biases in machine learning systems. You will work closely with data scientists, AI engineers, and governance teams to ensure AI models meet ethical, regulatory, and performance standards.

Key Responsibilities

• Investigate AI model behavior, failures, and performance issues.
• Analyze model predictions to identify bias, fairness, and ethical concerns.
• Conduct AI system audits to ensure compliance with responsible AI standards.
• Implement monitoring frameworks for model validation and explainability.
• Collaborate with AI engineers and data scientists to improve model transparency and reliability.
• Document findings and recommend improvements for responsible AI deployment.

Required Skills

• Strong understanding of machine learning model evaluation techniques.
• Experience in data analysis, statistical modeling, and anomaly detection.
• Hands-on experience with AI explainability tools such as SHAP and LIME.
• Knowledge of model validation, fairness testing, and bias detection.
• Strong analytical and problem-solving skills.