Full Stack AI Engineer - Security
Tasks
- Apply anomaly detection and behavioral modeling
- Build data ingestion and feature engineering pipelines
- Collaborate with security, DevOps, and product teams
- Design AI ML security models
- Detect and respond to security threats
- Integrate AI security protections into production systems
- Monitor model performance and handle model drift
- Research adversarial ML threats and update defenses
- Support incident response with AI insights and automation
- Train evaluate and deploy machine learning models
- Use graph analysis and NLP for security signals
Perks/Benefits
Skills/Tech-stack
Adversarial Machine Learning | Anomaly Detection | Application Security | Authentication | Authorization | Behavioral Modeling | CI/CD | Data Pipelines | Feature Engineering | Graph Machine Learning | Language Processing | Latency optimization | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Natural Language | Natural Language Processing | Network Security | NoSQL | PyTorch | Python | SIEM | SOAR | SQL | Scikit-learn | Streaming | Telemetry | TensorFlow | Threat modeling | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Security | Security AI Engineer
Regions
Countries
States
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