Artificial Intelligence Integration Engineer
Arlington, VA, United States
USD 110K-220K (estimate) Senior-level Full Time
Tasks
- Automate model deployment testing and updates
- Build dashboards for model observability
- Deploy machine learning models in production
- Detect data drift and trigger alerts
- Ensure security and compliance of AI systems
- Maintain documentation for pipelines and monitoring
- Maintain machine learning pipelines
- Monitor model health and performance metrics
- Optimize models for production
- Set up centralized logging and tracing
Perks/Benefits
Skills/Tech-stack
AUC | AWS SageMaker | Access Control | Alibi Detect | Azure Machine Learning | CI/CD | Data Drift | Data Drift Detection | Docker | Drift Detection | ELK Stack | Elasticsearch | Encryption | Evidently AI | GitHub Actions | Google Cloud | Grafana | InfluxDB | Jenkins | KS test | Kibana | Kubeflow | Kubernetes | Logstash | MLOps | MLflow | Machine Learning | OpenTelemetry | PSI | Plotly | Precisión | Prometheus | Pruning | Python | Quantization | Recall | SQL | Seaborn | Time Series | Time-series databases | TimescaleDB
Education
N/A
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