Back to jobs
Job Description
As a Data & AI Engineer in our Cybersecurity team, you will design, build, and deploy AI-powered solutions to detect, analyze, and mitigate cyber threats across our global infrastructure. You will:
• Prototype & Deploy AI Solutions: Develop proof-of-concepts for cybersecurity use cases (e.g., anomaly detection, LLM-based threat intelligence analysis, cyber risk agent, automated incident response).
• LLM & Generative AI: Build RAG systems, knowledge graphs, or agentic workflows to extract for example insights from security logs, threat feeds, or internal documentation.
• Model Development: Fine-tune and deploy ML/DL models for tasks like malware classification, phishing detection, or user behavior analytics.
• Cloud & MLOps: Engineer scalable, secure AI pipelines on Azure/GCP/AWS, from data ingestion to model serving (Docker, Kubernetes, CI/CD).
• Collaborate with Security Teams: Partner with SOC analysts, threat hunters, and IT teams to translate security challenges into AI-driven solutions.
• Innovate Continuously: Research and integrate emerging AI/ML techniques (e.g., adversarial ML, federated learning) to stay ahead of evolving threats.
• Prototype & Deploy AI Solutions: Develop proof-of-concepts for cybersecurity use cases (e.g., anomaly detection, LLM-based threat intelligence analysis, cyber risk agent, automated incident response).
• LLM & Generative AI: Build RAG systems, knowledge graphs, or agentic workflows to extract for example insights from security logs, threat feeds, or internal documentation.
• Model Development: Fine-tune and deploy ML/DL models for tasks like malware classification, phishing detection, or user behavior analytics.
• Cloud & MLOps: Engineer scalable, secure AI pipelines on Azure/GCP/AWS, from data ingestion to model serving (Docker, Kubernetes, CI/CD).
• Collaborate with Security Teams: Partner with SOC analysts, threat hunters, and IT teams to translate security challenges into AI-driven solutions.
• Innovate Continuously: Research and integrate emerging AI/ML techniques (e.g., adversarial ML, federated learning) to stay ahead of evolving threats.