MLOps Engineer
Arlington, VA, United States
USD 130K-195K (estimate) Senior-level Full Time
Tasks
- Automate model pipelines with CI CD
- Build model monitoring dashboards
- Deploy machine learning models
- Detect data drift and trigger alerts
- Implement model logging and tracing
- Optimize models for production
- Secure data pipelines and models
Perks/Benefits
- N/A
Skills/Tech-stack
AUC | Access Control | Adversarial Robustness | Adversarial Robustness Toolbox | Alibi Detect | Amazon SageMaker | Azure Machine Learning | Data Drift | Data Drift Detection | Docker | Drift Detection | ELK Stack | Encryption | Evidently AI | GitHub Actions | Google Cloud | Grafana | InfluxDB | Jenkins | KS test | Kibana | Kubeflow | Kubernetes | MLflow | Machine Learning | OpenTelemetry | PSI | Plotly | Precisión | Prometheus | Pruning | Python | Quantization | Recall | SQL | Seaborn | Time Series | Time-series databases | TimescaleDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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