Sr AI Quality and Safety Engineer

Job Description
Responsibilities:
• Validate that AI models meet performance benchmarks (accuracy, precision, recall, etc.).
• Detect and mitigate bias in datasets and model predictions.
• Identify potential risks in AI systems (e.g., harmful outputs, adversarial attacks).
• Implement safeguards to prevent unintended consequences.
• Ensure compliance with safety standards and regulations
• Continuously monitor AI systems in production for anomalies or drift.
• Audit decision-making processes for transparency and explainability.
• Document testing procedures and safety measures for accountability.
• Ensure AI systems align with ethical principles (fairness, accountability, transparency).
• Work with legal and compliance teams to meet regulatory requirements.
• Partner with data scientists, ML engineers, and product teams to integrate safety checks.

Day to Day:
One of Insight Global’s clients is seeking an AI Quality and Safety Engineer to ...