MLOps Engineer
Arlington, VA, United States
USD 150K-210K (estimate) Senior-level Full Time
Tasks
- Apply security and compliance controls for AI systems
- Automate model updates with CI CD pipelines
- Build monitoring dashboards for model health
- Collaborate with data science and DevOps teams
- Deploy machine learning models in production
- 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 | AWS SageMaker | Access Control | Adversarial Robustness | Adversarial Robustness Toolbox | Alibi Detect | Azure Machine Learning | CI/CD | Datadog | Docker | ELK Stack | Encryption | Evidently AI | GDPR | GitHub Actions | Grafana | Helicone | InfluxDB | Jenkins | KS test | Kubeflow | Kubernetes | LLM monitoring | Langsmith | MLflow | Machine Learning | NIST AI | NIST AI RMF | OpenTelemetry | PSI | Plotly | Precisión | Prometheus | Pruning | Python | Quantization | Recall | SQL | Seaborn | Time Series | Time-series databases | TimescaleDB
Roles
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