Full Stack AI Engineer - Security
Tasks
- Apply NLP for security signals
- Automate remediation strategies
- Build data ingestion pipelines
- Conduct adversarial machine learning research
- Deploy machine learning models to production
- Design AI-driven security systems
- Detect fraud and abuse
- Embed AI protections into DevSecOps workflows
- Implement machine learning models for identity risk
- Neutralize intrusion threats
- Perform anomaly detection
- Perform feature engineering
- Provide AI based incident response insights
- Use graph analysis for security insights
Perks/Benefits
Skills/Tech-stack
Adversarial Machine Learning | Anomaly Detection | Deep learning | DevSecOps | Graph Analysis | Incident Response | Language Processing | MLOps | Machine Learning | NLP | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Threat modeling
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Security | Security Engineer
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