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Senior AI/ML Engineer – Cyber Intelligence

Machine Learning EngineerMachine Learning EngineerContractRemoteTeam 1-10Since 2014H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

7 days ago

Salary

Not specified

Postgraduate Degree5 yrs expEnglishAWSAzureCloudCyber SecurityGoogle Cloud PlatformNeo4jPythonPy TorchTensorflow

Job Description

• Designing and deploying production-grade NLP models for security intelligence analysis • Developing knowledge graph systems connecting assets, vulnerabilities, and compliance frameworks • Building LLM-based intelligence capabilities to support automated cyber risk insights • Implementing robust MLOps pipelines to support model lifecycle management • Optimising model performance for real-time or near-real-time security analysis • Collaborating with domain specialists to translate cybersecurity concepts into machine learning models • Contributing to the technical roadmap for AI capabilities within the platform • Researching emerging AI techniques relevant to cybersecurity and risk analysis • Supporting architecture decisions that enable long-term scalability

Job Requirements

  • Hold an advanced degree in Computer Science, AI/ML, Mathematics, or a related technical field
  • 5+ years of experience building production AI/ML systems
  • Strong expertise in NLP frameworks (e.g., spaCy, Hugging Face, OpenAI APIs)
  • Experience working with knowledge graph technologies (e.g., Neo4j, Neptune, or similar)
  • Hands-on experience with LLM/RAG architectures
  • Strong programming skills in Python with frameworks such as PyTorch or TensorFlow
  • Comfortable working within cloud environments (AWS, Azure, or GCP)
  • Experience working with cybersecurity data or threat intelligence
  • Familiarity with frameworks such as NIST, ISO 27001, SOC 2, DORA, or OWASP
  • Experience building ML systems within regulated industries

Benefits

  • Health insurance
  • Flexible work arrangements

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