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You will be updated with latest job alerts via email5-7years
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Salary Not Disclosed
1 Vacancy
ACG2669JOB
Our client is a topnotch technology company who is looking for a qualified candidate to join their firm.
Incorporate AI solutions into existing cybersecurity systems and tools.
Utilize AI to automate penetration testing and detect vulnerabilities in application code.
Work closely with DevSecOps teams to integrate AIbased threat detection into CI/CD workflows.
Create and implement AI/ML models for identifying preventing and responding to cyber threats such as intrusion detection anomaly detection and malware analysis.
Examine large datasets including network traffic and logs to uncover patterns and security weaknesses.
Partner with security teams to design proactive defense mechanisms using AIderived insights.
Stay informed about the latest cyber threats and advancements in AI to continuously improve security strategies.
Ensure that AI models are secure ethically sound and resilient against adversarial attacks.
Bachelor s or Master s degree in Computer Science Cybersecurity AI or a related field.
Demonstrated ability to apply AI techniques to solve security challenges.
Certifications such as OSCP GPEN GWAPT or AIrelated certifications (e.g. TensorFlow Developer Certificate) are advantageous.
Experience in industries with strict security requirements (e.g. banking finance) is a plus.
AI/ML Skills:
Proficient in programming languages like Python or Java.
Experienced with machine learning frameworks such as TensorFlow PyTorch and Scikitlearn.
Familiar with deep learning natural language processing (NLP) and reinforcement learning.
Ability to design train and optimize AI models for realtime applications.
Proactively identifies vulnerabilities and risks in AI models.
Knowledgeable about adversarial AI (e.g. evasion attacks data poisoning) and defenses against these threats.
Cybersecurity Knowledge:
Capable of thinking like an attacker to foresee and counter threats.
Basic understanding of networking protocols (e.g. TCP/IP HTTP DNS).
Strong grasp of cybersecurity basics (e.g. encryption firewalls IDS/IPS penetration testing) and familiar with common attack methods (e.g. phishing ransomware DDoS) and defense strategies.
Experience with security tools such as Burpsuite/ZAP Metasploit or similar.
Knowledge of secure software development practices and threat modeling.
Familiar with cloud platforms (e.g. AWS Azure GCP) and securing AI workloads in the cloud.
Skilled in analyzing and preprocessing securityrelated datasets (e.g. logs packet captures).
Soft Skills:
Strong analytical and problemsolving abilities.
Able to explain complex technical concepts to nontechnical audiences.
Collaborative team player with a positive mindset.
Contact: Thang Nguyen
Due to the immense number of applications only shortlisted candidates will be contacted.
Full Time