Artificial Intelligence Senior Security Engineer
Tasks
- Apply predictive analytics and autonomous threat response
- Automate incident response using AI tools
- Develop and operationalize custom ML models for cybersecurity
- Enable scalable AI integration across the enterprise
- Enhance red teaming with AI assisted adversarial emulation
- Ensure responsible AI governance bias mitigation and explainability
- Identify AI enhancements for security controls and architecture
- Implement AI powered threat hunting and anomaly detection
- Prototype and evaluate AI technologies for threat detection
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | Adversarial Machine Learning | Anomaly Detection | Artificial Intelligence | Attack Path | Attack path mapping | Automation and response | Azure AI | Azure AI Foundry | Bias Mitigation | Data Pipelines | Explainability | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Risk Management | Model risk | Offensive security | PyTorch | Red Teaming | Risk Management | Security Orchestration | Security Orchestration Automation | Security Orchestration Automation and Response | TensorFlow | Threat hunting | Threat modeling | Vertex AI
Education
N/A
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