Machine Learning Engineer
Tasks
- Automate model retraining
- Build anomaly detection models
- Create datasets from attack traffic
- Deploy inference models at the edge
- Detect concept drift
- Ingest traffic logs into data pipelines
- Integrate models with security systems
- Monitor model performance
- Process HTTP traffic with low latency
- Train machine learning models for intrusion detection
Perks/Benefits
Skills/Tech-stack
AWS | AWS Edge | Agents | Anomaly Detection | CDN | Cloudflare Workers | Credential Stuffing | DDoS | Data Pipelines | Edge Computing | Fastly | GCP | HTTP | Inference Optimization | Intrusion Detection | LLMs | Large-scale | Large-scale Datasets | Low Latency | Machine Learning | Model Deployment | OWASP Top | OWASP Top 10 | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Top 10 | WAF | Web Security
Education
N/A
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