AI Engineer – Cybersecurity Automation | IDC Technologies | Abu Dhabi, UAE

Tech Junction Ltd

Abu Dhabi

On-site

AED 300,000 - 500,000

Full time

29 hours ago
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Job summary

IDC Technologies in Abu Dhabi, UAE seeks an experienced AI Engineer – Cybersecurity Automation to design, develop, train, and deploy advanced AI models for automated threat detection and intelligent workflow automation. You will work with SOC analysts and software teams to operationalize AI-driven security solutions on-site.

The role requires 5+ years in AI/ML and cybersecurity software engineering, strong Python/TensorFlow/PyTorch skills, and hands-on experience with SOAR platforms and SIEM

Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Software Engineering, or related field.
  • Minimum of 5+ years of progressive professional experience in AI, ML, and cybersecurity software engineering.
  • Hands-on experience in building AI-driven security solutions and intelligent workflow automation systems.
  • Proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and ML libraries.
  • Experience with security analytics, threat detection modeling, SOAR platforms, and security automation.

Responsibilities

  • Design, develop, train, and deploy AI models for automated cybersecurity threat detection.
  • Build AI-driven security solutions and automation pipelines for enterprise protection.
  • Integrate AI with SOAR platforms and SIEM tools.
  • Evaluate models, tune performance, and harden AI-powered defenses.
  • Analyze large security telemetry and threat feeds to improve detection.
  • Collaborate with SOC analysts, security engineers, and software teams.
  • Contribute to incident response automation and playbooks.
  • Maintain documentation of AI algorithms, integrations, and runbooks.

Skills

AI/ML
Security automation
Python
TensorFlow
PyTorch
Scikit-Learn
SOAR
Threat modeling
English communication

Education

Bachelor’s degree in CS/AI/Cybersecurity

Tools

SOAR platforms
SIEM tools
Docker
Kubernetes

Job description

Position Summary

IDC Technologies is actively seeking an experienced, high-caliber, and technical AI Engineer specializing in Cybersecurity Automation with 5+ years of progressive professional experience in artificial intelligence, machine learning, and AI-driven security solutions to join our client engineering team on a full-time permanent on-site basis in Abu Dhabi, UAE. In this critical cybersecurity and intelligent workflow automation role, you will be responsible for designing, developing, and deploying advanced AI models and automated security workflows to safeguard mission-critical enterprise systems. You will leverage your deep specialist expertise in machine learning frameworks, threat detection algorithms, security orchestration, and automated response systems to deliver uncompromised digital resilience, threat mitigation, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital technology consulting enterprise.

Detailed Job Description

As an AI Engineer – Cybersecurity Automation supporting IDC Technologies in Abu Dhabi, UAE, you will take full operational, tactical, and technical ownership of AI-driven security architectures, intelligent workflow automation, machine learning threat modeling, and security operations automation. Your day-to-day responsibilities include designing, developing, training, and deploying advanced machine learning models and deep learning algorithms for automated threat detection, anomaly recognition, and security incident triage, building robust AI-driven security solutions and intelligent workflow automation pipelines integrated with Security Orchestration, Automation, and Response (SOAR) platforms, collaborating closely with cybersecurity analysts, security operations center (SOC) squads, and software engineering teams to operationalize AI models, conducting rigorous performance tuning, model evaluation, and security hardening of AI-powered defense mechanisms, analyzing large-scale security telemetry, log datasets, and threat intelligence feeds to improve predictive threat detection, maintaining compliance with enterprise cybersecurity frameworks, data protection regulations, and governance standards, preparing comprehensive technical documentation of model architectures, API integrations, and operational runbooks, and managing application requirements by sending your updated CV via direct email to career@idctechnologies.com. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex AI model and security pipeline anomalies under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 5+ years experience requirement and Abu Dhabi on-site presence.

Key Responsibilities
  • Design, develop, train, and deploy advanced machine learning and AI models for automated cybersecurity threat detection and anomaly analysis.
  • Build and optimize AI-driven security solutions and intelligent workflow automation pipelines for enterprise protection.
  • Integrate artificial intelligence models seamlessly with Security Orchestration, Automation, and Response (SOAR) platforms and SIEM tools.
  • Conduct rigorous model evaluation, performance tuning, validation, and security hardening of AI-powered defense systems.
  • Analyze large-scale security telemetry, event logs, and threat intelligence feeds to enhance predictive threat modeling.
  • Collaborate proactively with cross-functional SOC analysts, security engineers, and software development squads.
  • Participate in security incident response automation, playbook creation, and automated threat remediation workflows.
  • Maintain accurate, comprehensive technical documentation of AI algorithms, system integrations, and operational runbooks.
Required Qualifications & Skills
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Software Engineering, or a related discipline.
  • Minimum of 5+ years of progressive professional experience in artificial intelligence, machine learning, and cybersecurity software engineering.
  • Strong, demonstrable hands-on professional expertise in building AI-driven security solutions and intelligent workflow automation systems.
  • Comprehensive working knowledge and practical proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, and machine learning libraries.
  • Deep practical experience in security analytics, threat detection modeling, SOAR platforms, and security operations automation.
  • Solid practical experience in data preprocessing, feature engineering, model training, and evaluation for security datasets.
  • Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure threat conditions.
  • Excellent written and verbal English communication skills with strong technical documentation and collaboration abilities.
  • Mandatory legal work eligibility and physical availability for full-time on-site professional operations in Abu Dhabi, UAE.
Nice-to-Have Skills
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or AWS/Azure Machine Learning Specialty.
  • Prior professional working experience in top-tier cybersecurity firms, managed security service providers (MSSPs), or enterprise technology enterprises.
  • Hands-on familiarity with cloud security architectures (AWS, Azure, GCP) and containerized AI deployment pipelines (Docker, Kubernetes).
  • Experience utilizing big data analytics frameworks (Spark, Hadoop) and real-time streaming security telemetry (Kafka).
  • Exposure to natural language processing (NLP) and generative AI applications applied to automated threat intelligence reporting.
Recruitment Pro Tip

When applying for this AI Engineer – Cybersecurity Automation position through IDC Technologies, ensure your resume explicitly highlights your machine learning and security automation portfolio, details your SOAR and threat detection experience, and confirms your Abu Dhabi on-site availability.

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