Editorial summary

The company is seeking an AI Engineer to design, develop, and deploy machine learning models focused on cybersecurity applications such as anomaly detection, threat intelligence, and fraud detection. The role involves building scalable data pipelines, automating workflows, and collaborating with cybersecurity teams to integrate AI solutions into security products like DDoS mitigation and web application firewalls. Key requirements include experience with large-scale data preprocessing, feature engineering, and model evaluation. The position offers a salary of 9,500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/ai-engineer-35320 first appeared in Job-Q.com on 30 Sep 2026]

AI Engineer

Responsibilities

• Design, develop, and deploy AI and machine learning models for cybersecurity applications, including anomaly detection, threat intelligence, fraud detection, and predictive analytics.
• Build scalable data pipelines and automate machine learning workflows to support real-time security monitoring.
• Collaborate with cybersecurity teams to integrate AI solutions into products and services, including DDoS mitigation, web application firewalls (WAF), and cloud security.
• Perform large-scale data preprocessing, feature engineering, and ongoing model evaluation.
• Research and apply advanced AI techniques in natural language processing (NLP), generative AI, and network traffic analysis.
• Develop APIs and tools to integrate AI capabilities into enterprise clients’ platforms.
• Keep abreast of emerging AI, machine learning, and cybersecurity trends to identify opportunities for innovation.

Requirements

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
• Strong Python programming skills and experience with machine learning frameworks and libraries such as PyTorch, scikit-learn, and Hugging Face.
• Sound understanding of machine learning, deep learning, and anomaly detection techniques.
• Experience with data processing tools and technologies such as pandas, NumPy, Spark, and SQL, and cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with cybersecurity concepts, network protocols, and security analytics.
• Strong analytical and problem-solving skills, with the ability to work with complex datasets.

Interested applicants please submit your resume to

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