AI Engineer

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 [email protected]