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# AI Cyber Threat Hunter

- **Company:** DevApps IT
- **Location:** Richardson, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Network Forensics, Windows PowerShell, Security Information and Event Management, Scripting, Cloud Platform System, Cyber Threat Analysis, Cybercrime, Data Analytics, Drilldown, Machine Learning Operations, Cyber Warfare, Service Stack
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/1aa66678-6960-4e1e-91e7-13454732a72c

## About the Role

* Experience: 5+ years in cybersecurity, with at least 3 years specifically in threat hunting or incident response.
 * AI/ML Knowledge: Demonstrated experience applying machine learning or statistical analysis to cybersecurity data.
 * Scripting: Proficient in Python for parsing logs, data correlation, and automation (PowerShell/Bash a plus).
 * Technology Stack: Strong understanding of SIEM platforms, EDR tools, network traffic analysis, and cloud environments (AWS/Azure).
 * Analytical Skills: Ability to analyze large, disparate datasets and pivot through forensic trails.

Preferred Skills & Qualifications:

 * Certifications: Active GCIH, GCDA, GCTI, or similar advanced security certifications preferred.

## Description

Cyber Defense Team is seeking an advanced Cyber Threat Hunter to proactively identify sophisticated adversaries lurking within our network. You will leverage AI/ML algorithms to sift through massive datasets, identifying anomalies, weak signals, and malicious activities that evade standard automated defenses. The role involves rapid pivoting through data, conducting deep-dive forensics, and partnering with detection engineers to turn hunts into automated detection rules.
Responsibilities:

 * Proactive Hunting: Conduct advanced, hypothesis-driven threat hunting campaigns to uncover hidden malicious activity, utilizing AI-based behavioral analytics.
 * AI/ML Integration: Apply machine learning models and data science techniques to analyze large-scale security telemetry (logs, endpoint, network, cloud) to surface anomalous patterns.
 * Adversary Simulation: Analyze emerging threat actor tactics, techniques, and procedures (TTPs) using threat intelligence to guide hunts.
 * Detection Engineering: Work closely with engineering teams to convert manual investigative findings into durable SIEM alerts and automated detections.
 * Forensics & Analysis: Perform deep-dive analysis of malware and indicators of compromise (IOCs), reverse-engineering exploits to understand scope and impact.
 * Documentation: Meticulously document hunt approaches, findings, and actionable insights to improve long-term resilience.


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