Staff AI/ML Engineer
Tasks
- Automate testing for ML
- Build ML model architectures
- Collaborate with OT detection experts
- Deploy ML capabilities for cybersecurity
- Deploy ML models
- Deploy to containerized environments
- Design machine learning systems
- Develop ML data pipelines
- Establish data contracts
- Evaluate ML research and open source models
- Implement ML observability
- Implement production machine learning systems
- Improve ML infrastructure
- Integrate ML workflows with data infrastructure
- Monitor ML pipelines
- Optimize ML models for threat detection
- Optimize latency accuracy resource utilization
- Set up CI/CD pipelines
- Troubleshoot ML model performance
- Version ML models
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CI/CD | Classification | Cloud Native | Containerization | Data Pipelines | Docker | Go | Huggingface | Java | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Message queuing | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Observability | Pipeline Deployment | Pipeline Orchestration | PyTorch | Python | Retrieval-Augmented Generation | Rust | SQL | Scikit-learn | Series analysis | Stream processing | TensorFlow | Time Series | Time Series Analysis
Education
N/A
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