Cyber Threat Hunter - AI and Machine Learning

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We are looking for an experienced Threat Hunter with a deep understanding of artificial intelligence (AI) and machine learning (ML) techniques to join our cybersecurity team.

The ideal candidate will leverage AI and advanced data analytics to proactively identify, analyze, and mitigate sophisticated cyber threats, such as zero-day attacks, advanced persistent threats (APTs), and insider threats.

This role combines traditional threat hunting practices with cutting-edge AI technologies to provide enhanced protection for our organization's infrastructure.

Key Accountabilities/Deliverables:


* Use AI-driven tools and techniques to analyze large volumes of data for abnormal behavior and emerging cybersecurity threats.


* Leverage machine learning models and AI algorithms to analyze network traffic, endpoint data, and threat intelligence feeds for signs of potential security breaches.


* Develop and implement advanced threat detection strategies using AI models that can identify patterns, anomalies, and indicators of compromise (IOCs) before they cause harm.


* Collaborate with the incident response team to investigate and respond to detected threats, applying AI insights to improve response times and accuracy.


* Use automation tools to streamline repetitive tasks and improve the efficiency of threat detection, analysis, and response.


* Continuously develop, optimize, and enhance AI-powered security tools and platforms to detect previously unknown threats and zero-day vulnerabilities.


* Integrate threat intelligence feeds with AI models to enhance the ability to predict and identify evolving attack vectors.


* Work closely with security teams, developers, and other stakeholders to enhance overall cybersecurity posture.

Provide regular reports and dashboards highlighting threat landscape trends, AI model effectiveness, and response actions.


* Stay current on the latest developments in AI, machine learning, and cybersecurity threats.

Research emerging attack methods and adapt defense strategies accordingly.

Technical Knowledge and Understanding:


* Proficiency in programming languages (e.g., Python, R, or similar languages used in machine learning).


* Solid understanding of AI/ML frameworks 


* Familiarity with cloud environments (AWS, Azure, Google Cloud) and cloud-native security tools.


* Knowledge of security monitoring tools (e.g., IDS/IPS, EDR, NDR).


* Strong understanding of networking, operating systems, and common attack vectors.


* Familiarity with behavioral analytics, anomaly detection, and predictive modeling.

Experience:
 


* Bachelor’s degree in Cybersecurity, Computer Science, Data Science, or related field preferred.


* 4+ years experience in cybersecurity, with a focus on threat hunting or incident response.


* Strong experience with AI, machine learning, and data analytics applied to cybersecurity.


* Familiarity with common threat hunting fr...