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 joepster.lim@share-resources.com