AI Cybersecurity Specialist

9 hours ago

Singapore beBeeArtificialintelligence Full time $90,000 - $120,000
A Data-Driven AI Role

This position involves designing and maintaining cloud-based data pipelines for ingesting and transforming multi-source cybersecurity data.

Some of the key responsibilities include:

• Developing interactive dashboards to support real-time security analytics and reporting.
• Integrating LLM APIs via LangChain and implementing AI-driven agents to automate cybersecurity workflows.
• Deploying and managing vector databases for search and retrieval tasks.
• Building agentic systems using tools like Flowise, enabling multi-agent collaboration in cyber operations.
• Implementing human-in-the-loop processes for critical decision approvals within AI workflows.
• Applying prompt engineering to optimize LLM outputs for security-related use cases.
• Managing CI/CD pipelines for testing, deployment, and continuous improvement of AI solutions.
• Leading end-to-end AI/LLM solution development from experimentation to production for SOC automation and threat detection.
• Working cross-functionally to ensure secure, scalable, and production-ready solutions.

The ideal candidate will have a degree in Computer Science, Data Science, Machine Learning, or related fields. They should also have 2–3 years of hands-on experience in Python, LangChain, NLP, and Computer Vision, as well as experience with cloud platforms and cloud AI services.

Required skills and qualifications include:

• Strong programming skills in Python and experience with LangChain.
• Proficiency in NLP and Computer Vision techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization using Docker/Kubernetes.
• Experience with cloud AI services like AWS Sagemaker/Bedrock or Google Vertex AI.
• Knowledge of data warehousing tools like Amazon Redshift or Google BigQuery is beneficial.
• Exposure to open-source automation tools such as Flowise is beneficial.

This role offers opportunities for professional growth and development, and we encourage applicants who are passionate about AI and cybersecurity to apply.

Key skills and technologies required for this role include Tableau, Machine Learning, Azure, Pipelines, Experimentation, Amazon Redshift, Public Sector, Automation Tools, Computer Vision, Containerization, Vertex, Data Science, Data Warehousing, Databases.

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