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
Published 14 March
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