Artificial Intelligence Integration Engineer
Arlington, VA, United States
USD 128K-200K (estimate) Senior-level Full Time
Tasks
- Automate model deployment and updates
- Build observability dashboards
- Collaborate with data science and DevOps teams
- Deploy machine learning models in production
- Detect data drift and trigger alerts
- Ensure data pipeline security and access control
- Implement centralized logging and tracing
- Maintain end-to-end machine learning pipelines
- Maintain technical documentation
- Monitor model health and performance
- Optimize models for production
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AWS | Access Control | Alibi Detect | Amazon SageMaker | Azure | Azure Machine Learning | CI/CD | Cloud platform | Compliance | Data Drift | Docker | ELK Stack | Encryption | Evidently AI | GDPR | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | InfluxDB | Jenkins | Kibana | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Pruning | NIST AI | NIST AI RMF | OpenTelemetry | Prometheus | Python | Quantization | SQL | Time Series | TimescaleDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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