Artificial Intelligence Cybersecurity Engineer
USD 100K-150K (estimate) Senior-level Full Time
Tasks
- Automate model pipelines with CI CD
- Build observability dashboards
- Deploy machine learning models in production
- Detect data drift and trigger alerts
- Document pipelines and monitoring processes
- Ensure compliance with security regulations
- Maintain infrastructure for scalable ML services
- Monitor model health and performance
- Optimize models for production
- Secure data pipelines and model access controls
- Set up centralized logging and tracing
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AUC | Access Control | Adversarial Machine Learning | Adversarial Robustness | Adversarial Robustness Toolbox | Alibi Detect | Amazon SageMaker | Azure Machine Learning | CI/CD | Data poisoning | Datadog | Docker | ELK Stack | Encryption | Evidently AI | GDPR | GitHub Actions | Grafana | HIPAA | InfluxDB | Jenkins | KS test | Kibana | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Performance Metrics | Model performance | NIST AI | NIST AI RMF | OpenTelemetry | PSI | Performance Metrics | Plotly | Precision-recall | Prometheus | Python | SQL | Seaborn | Time Series | Time-series databases | TimescaleDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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