MLOps Engineer
Arlington, VA, United States
USD 150K-215K (estimate) Senior-level Full Time
Tasks
- Apply security and compliance controls for ML systems
- Build and maintain model monitoring dashboards
- Collaborate with data science and DevOps teams on ML requirements
- Deploy machine learning models in production
- Develop CI/CD pipelines for model automation
- Implement data drift detection pipelines
- Maintain documentation for pipelines and monitoring
- Optimize models for production performance
- Set up centralized logging and tracing
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AUC | Access Control | Adversarial Robustness | Adversarial Robustness Toolbox | Alibi Detect | Amazon SageMaker | Azure Machine Learning | CI/CD | Datadog | Docker | ELK Stack | Encryption | Evidently AI | GDPR | GitHub Actions | Google Cloud | Grafana | InfluxDB | Jenkins | KS test | Kibana | Kubeflow | Kubernetes | MLflow | Machine Learning | Model Pruning | Model Quantization | NIST AI | NIST AI RMF | OpenTelemetry | PSI | Plotly | Precisión | Prometheus | Python | Recall | SQL | Seaborn | Time Series | TimescaleDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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