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Job DescriptionJob Description
Design and implement
machine learning models
for authentication, fraud detection, and cybersecurity threat prediction. Develop advanced
behavioral analytics solutions
to detect anomalies in user authentication and access patterns. Collaborate with cybersecurity teams to
integrate AI-driven solutions
into security platforms and workflows. Research and implement cutting-edge techniques in
AuthAI , including deep learning for verification and continuous authentication. Build and maintain scalable data pipelines for security event monitoring and threat detection. Conduct
data 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 with
data privacy regulations
and organizational security standards. Requirements Strong proficiency in
machine learning, deep learning, and data science tools
(Python, R, TensorFlow, PyTorch, Scikit-learn). Expertise in
AuthAI technologies
such as biometrics, continuous authentication, and risk scoring. Solid understanding of
cybersecurity principles , including intrusion detection, anomaly detection, encryption, and access management. Experience with
threat intelligence platforms, SIEM tools, and security data analysis . Knowledge of
cloud platforms
(AWS, Azure, or GCP) with security and data services. Familiarity with
data engineering workflows , including ETL, big data (Spark, Hadoop), and cybersecurity log analysis. Strong problem-solving ability with a focus on
risk mitigation and predictive analytics . Excellent communication skills for collaboration with both technical and non-technical stakeholders.
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machine learning models
for authentication, fraud detection, and cybersecurity threat prediction. Develop advanced
behavioral analytics solutions
to detect anomalies in user authentication and access patterns. Collaborate with cybersecurity teams to
integrate AI-driven solutions
into security platforms and workflows. Research and implement cutting-edge techniques in
AuthAI , including deep learning for verification and continuous authentication. Build and maintain scalable data pipelines for security event monitoring and threat detection. Conduct
data 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 with
data privacy regulations
and organizational security standards. Requirements Strong proficiency in
machine learning, deep learning, and data science tools
(Python, R, TensorFlow, PyTorch, Scikit-learn). Expertise in
AuthAI technologies
such as biometrics, continuous authentication, and risk scoring. Solid understanding of
cybersecurity principles , including intrusion detection, anomaly detection, encryption, and access management. Experience with
threat intelligence platforms, SIEM tools, and security data analysis . Knowledge of
cloud platforms
(AWS, Azure, or GCP) with security and data services. Familiarity with
data engineering workflows , including ETL, big data (Spark, Hadoop), and cybersecurity log analysis. Strong problem-solving ability with a focus on
risk mitigation and predictive analytics . Excellent communication skills for collaboration with both technical and non-technical stakeholders.
#J-18808-Ljbffr