Artificial Intelligence Senior Security Engineer
Tasks
- Automate incident response workflows
- Build security data pipelines for ML deployment
- Conduct adversarial emulation and adversarial testing
- Develop AI powered tools for threat hunting
- Develop and operationalize ML models for cybersecurity
- Drive integration of AI into cyber defense ecosystem
- Evaluate AI technologies for cyber defense
- Implement anomaly detection systems
- Improve model explainability
- Lead enterprise AI transformation for security controls
- Mentor engineers and analysts on AI security
- Mitigate model bias
- Operationalize LLM applications for security use cases
- Oversee AI model governance
- Prototype emerging AI technologies for threat detection
- Support red teaming with AI enhanced capabilities
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Governance | AWS Bedrock | Adversarial Machine Learning | Anomaly Detection | Artificial Intelligence | Attack Path | Attack path mapping | Automation and response | Azure AI | Azure AI Foundry | Bias Mitigation | Cyber Security | Data Engineering | Data Pipelines | Explainable AI | Feature Engineering | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Risk Management | Model risk | Offensive security | Red Teaming | Regulatory Compliance | Risk Management | SOAR | Security Orchestration | Security Orchestration Automation | Security Orchestration Automation and Response | Security data | Security data pipelines | Threat hunting | Threat modeling | Vertex AI
Education
N/A
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