Threat analytics engineer

We are looking for an AI Threat Analytics Engineer to develop intelligent threat analytics solutions using artificial intelligence, machine learning, and advanced security analytics. The candidate will analyze large volumes of security data, identify emerging threats, and build predictive models to improve enterprise threat detection capabilities.

Key Responsibilities

• Develop AI/ML-powered threat analytics solutions.
• Analyze security telemetry and threat intelligence data.
• Build machine learning models for anomaly detection and threat classification.
• Develop behavioral analytics and suspicious activity detection mechanisms.
• Implement threat correlation across multiple security data sources.
• Develop predictive analytics for emerging cyber threats.
• Integrate threat analytics solutions with SIEM and XDR platforms.
• Build automated security dashboards and analytical reports.
• Evaluate model performance and reduce false-positive detections.
• Collaborate with threat intelligence, SOC, and detection engineering teams.

Required Skills

• Experience in cybersecurity analytics and threat detection.
• Strong Python programming and data analysis skills.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SIEM and XDR platforms.
• Understanding of MITRE ATT&CK and cyber threat intelligence.
• Experience with SQL and large-scale security datasets.
• Knowledge of anomaly detection, classification, and behavioral analytics.
• Experience with data visualization tools such as Power BI, Kibana, or Tableau.