Artificial Intelligence Cybersecurity Engineer
Arlington, VA, United States
USD 127K-185K (estimate) Mid-level Full Time
Tasks
- Apply secure by design practices for AI security
- Build real time and historical model monitoring dashboards
- Deploy AI models to cloud and on prem infrastructure
- Ensure compliance with data protection regulations
- Implement data drift detection pipelines
- Integrate AI models into production systems
- Optimize model inference performance
- Perform end-to-end integration testing
- Set up AI logging and tracing
Perks/Benefits
Skills/Tech-stack
AI RMF | AI Security | Adversarial Attacks | Adversarial Robustness | Adversarial Robustness Toolbox | Amazon SageMaker | C plus plus | Chart.js | Data Drift | Data Drift Detection | Datadog | Differential Privacy | Docker | Drift Detection | ELK Stack | Evidently AI | F1-score | GDPR | GRPC | Go | Grafana | GraphQL | HIPAA | JavaScript | KS test | Kibana | Kubernetes | Langsmith | Model inversion | NIST AI | NIST AI RMF | OWASP AI | OWASP AI Security | OWASP AI Security Top 10 | Observability | OpenTelemetry | PSI | Plotly | Prometheus | Prompt injection | Python | Quantization | REST | TensorFlow Serving | Top 10 | Weights and Biases
Education
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