About the Role:

As an AI-Powered Threat Detection Engineer, you’ll develop intelligent security systems that learn from threat patterns, predict malicious behavior, and automate incident response. You’ll work on the cutting edge of AI-driven cyber defense, designing tools that detect insider threats, advanced persistent threats (APT), and zero-day exploits.

This is a hands-on engineering role for someone who loves solving complex problems using AI, machine learning, and cybersecurity expertise.

Key Responsibilities:

• Build and deploy AI/ML models for behavioral analytics and threat scoring.

• Use real-time streaming data to identify and respond to emerging cyber threats.

• Integrate your models into SIEM and SOAR platforms for automated defense.

• Conduct red team vs. blue team simulations using generated attack data.

• Lead data engineering efforts for collecting, cleaning, and labeling threat logs.

• Work closely with cybersecurity analysts and DevSecOps teams.

• Research and implement deep learning approaches for malware classification.

 Required Skills:

• Solid foundation in cybersecurity principles and incident detection

• Strong coding skills in Python (Pandas, Scikit-learn, TensorFlow or PyTorch)

• Proficiency in data pipelines and APIs (Kafka, REST, Splunk, Elasticsearch)

• Experience with SIEM tools (e.g., QRadar, Splunk, Microsoft Sentinel)

• Understanding of log analysis, network traffic, and SOC processes

• Familiarity with threat frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain)

Desirable Skills:

• Experience with anomaly detection algorithms or unsupervised learning

• Exposure to graph-based analysis for threat hunting (e.g., Neo4j, NetworkX)

• Hands-on with Docker, Kubernetes, and cloud-based ML pipelines

• Cybersecurity certifications: CISSP, CISM, CEH, or Google Cybersecurity Cert

Why This Role Is Unique:

• You’ll design real-world AI systems that detect attacks before they happen

• Work with live, high-volume data from financial institutions and telecom networks

• Exposure to AI forensics, digital twin simulations, and advanced SOCs

• Training budget and mentorship to specialize in AI Cyber Defense