Digitals AI Inc
- Design and implementmachine learning models for authentication, fraud detection, and cybersecurity threat prediction.
- Develop advancedbehavioral analytics solutions to detect anomalies in user authentication and access patterns.
- Collaborate with cybersecurity teams tointegrate AI-driven solutions into security platforms and workflows.
- Research and implement cutting-edge techniques inAuthAI , including deep learning for identity verification and continuous authentication.
- Build and maintain scalable data pipelines for security event monitoring and threat detection.
- Conductdata experiments to assess new authentication methods, biometrics, and risk-based models.
- Interpret and present insights to senior stakeholders to support data-driven decision-making in cybersecurity strategies.
- Ensure all models, methods, and solutions comply withdata privacy regulations and organizational security standards.
- Strong proficiency inmachine learning, deep learning, and data science tools (Python, R, TensorFlow, PyTorch, Scikit-learn).
- Expertise inAuthAI technologies such as biometrics, continuous authentication, and identity risk scoring.
- Solid understanding ofcybersecurity principles , including intrusion detection, anomaly detection, encryption, and access management.
- Experience withthreat intelligence platforms, SIEM tools, and security data analysis .
- Knowledge ofcloud platforms (AWS, Azure, or GCP) with security and data services.
- Familiarity withdata engineering workflows , including ETL, big data (Spark, Hadoop), and cybersecurity log analysis.
- Strong problem-solving ability with a focus onrisk mitigation and predictive analytics .
- Excellent communication skills for collaboration with both technical and non-technical stakeholders.