Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness)

As a Machine Learning Engineer in the Fraud & AI Integrity group, you will focus on deepfake detection, digital manipulation, and injection attack detection for selfie‑based identity verification.

La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
What You Will Do (Core Responsibilities)

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• Design, train, and deploy machine learning models for image‑based fraud detection, including deepfake detection, injection attack detection, and digital manipulation analysis in biometric verification.
  
• Work end‑to‑end across the ML lifecycle: dataset curation (large‑scale, noisy, adversarial datasets), model development and training, evaluation and iteration using fraud‑relevant metrics, production deployment and monitoring.
  
• Build robust data pipelines, including data validation, cleaning, labeling strategies, handling class imbalance, b...