AI Engineer

We are looking for an exceptional AI Engineer to help build and optimize our next-generation autonomous cybersecurity agents. You will work at the intersection of AI, cybersecurity, and automation, developing cutting-edge machine-learning models that analyze threats, adapt in real-time, and operate autonomously. 

Key Responsibilities 

• Analyse large amounts of data to discover trends and patterns. 
• Apply data mining techniques, perform statistical analysis, and build high-quality prediction modeling. 
• Design, develop, and deploy AI-driven cybersecurity models to detect, analyze, and mitigate threats. 
• Train proprietary extensions of LLMs and implement deep learning architectures. 
• Enhance autonomous decision-making capabilities for real-time threat response. 
• Optimize models for scalability, efficiency, and accuracy. 
• Collaborate with security researchers and data scientists to refine detection algorithms. 
• Work with engineering teams to integrate AI models into real-world cybersecurity applications. 
• Meet the business vision and strategy in accordance with the product innovation backlog. 

Requirements 

• M.Sc./Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. 
• 3+ years of proven experience as a Data Scientist or  AI/ML engineer (preferably in cybersecurity or related fields). 
• Strong proficiency in Python. 
• Strong proficiency with common data science toolkits, such as TensorFlow, PyTorch, Pandas, Scikit-learn, and more. 
• Experience with NLP, AI, ML  and LLMs. 
• High-level applied statistics skills, such as distributions, statistical testing, etc. 
• Experience in data mining and insight drawing from large data sets. 
• Understanding of cybersecurity concepts, threat intelligence, and network security. 
• Familiarity with cloud-based AI infrastructure like Amazon Bedrock or an equivalent knowledge with Azure or GCP. 
• Ability to work in a fast-paced, high-tech startup environment.