Cybersecurity AI/ML Engineer
USA, VA, McLean (8283 Greensboro Dr, Hamilton), United States
USD 77K-176K Mid-level Full Time
Tasks
- Build scalable batch and streaming data and feature pipelines
- Design build and deploy production AI ML services for cybersecurity
- Develop automation scripting and infrastructure as code for ML pipelines
- Implement secure AI and MLSecOps practices
- Integrate ML services into SIEM SOAR EDR IAM and CSPM via APIs
- Lead cross functional efforts to mature AI enabled cybersecurity capabilities
- Monitor and evaluate model performance with observability and retraining
- Operate ML platforms and low latency inference services
- Perform code and architecture reviews
Perks/Benefits
Skills/Tech-stack
AI RMF | APIs | Amazon SageMaker | Azure Machine Learning | BentoML | CD pipelines | CI/CD | CI/CD pipelines | CSPM | Docker | EDR | Event Driven | Event-driven architecture | Experiment tracking | Feature Stores | Hugging Face | IAM | Inference Server | Infrastructure as Code | KServe | Kubeflow | Kubernetes | Kubernetes autoscaling | LLM Top 10 | Langchain | Llamaindex | MITRE ATLAS | MLOps | MLflow | Machine Learning | Milvus | Model versioning | NIST AI | NIST AI RMF | OWASP LLM | OWASP LLM Top 10 | OpenSearch | PGVector | Pinecone | PyTorch | Python | Ray Serve | SIEM | SOAR | Scikit-learn | TensorFlow | Top 10 | Triton Inference | Triton Inference Server | Vector embeddings | Vertex AI | Weights and Biases | “as-code”
Education
Regions
Countries
States
Cities
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