AI Cyber Defence Specialist

1 day ago

Singapore beBeeCybersecurity Full time

We are seeking a seasoned Machine Learning Engineer to drive the adoption of state-of-the-art technologies and strengthen our cyber defence.

This role requires a highly skilled professional with expertise in designing and implementing data pipelines on cloud platforms, developing interactive dashboards for security analytics, and integrating Large Language Model APIs via LangChain.

The ideal candidate will have experience with vector databases, agentic workflows, human-in-the-loop approval processes, and CI/CD pipelines. A strong proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow is also essential.

In addition to technical skills, the selected individual will be a team player who can collaborate with cybersecurity, engineering, and operations teams to deliver end-to-end solution delivery from experimentation to production.

Key Responsibilities:

  • Design and implement data pipelines on cloud platforms to ingest, transform, and integrate data from multiple sources for cybersecurity applications.
  • Develop interactive dashboards (e.g. Tableau or equivalent) for monitoring, visualization, and reporting on security analytics.
  • Integrate Large Language Model APIs via LangChain and leverage cloud AI services to enhance agent-driven capabilities within security workflows.
  • Design, deploy, and manage vector databases (e.g. Pinecone, PGVector, FAISS) to support semantic search and retrieval in AI-powered solutions.
  • Build agentic workflows using LangChain and open-source tools (e.g. Flowise) to automate complex cyber operations.
  • Implement human-in-the-loop approval processes to ensure critical cybersecurity decisions undergo proper review and authorization.
  • Orchestrate agent-to-agent workflows to enable autonomous collaboration between AI agents within the cyber defense ecosystem.
  • Apply prompt engineering best practices to optimize Large Language Model performance for security-focused use cases.
  • Implement and maintain CI/CD pipelines (e.g. Git) for continuous integration, deployment, and testing of AI solutions.
  • Drive end-to-end solution delivery—from experimentation to production—for SOC automation, threat detection, and human-in-the-loop processes.

Requirements:

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field.
  • At least 3 years of experience with Large Language Models, LangChain, or equivalent AI frameworks.
  • Strong proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.

What We Offer:

  • Cross-functional collaboration with cybersecurity, engineering, and operations teams.
  • Opportunities for professional growth and development in a dynamic and innovative environment.

To be considered for this exciting opportunity, please submit your resume and consent to the collection, use, and disclosure of your personal information per our Privacy Policy.

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