Data & AI Engineer - Cybersecurity Innovation
Tasks
- Analyze security logs and threat feeds
- Build LLM based threat intelligence systems
- Collaborate with SOC analysts for incident response
- Create RAG systems
- Deploy models for malware and phishing detection
- Develop knowledge graphs and agentic workflows
- Engineer scalable secure AI pipelines
- Fine tune ML and DL models
- Implement MLOps for data ingestion and model serving
- Prototype AI solutions for cyber threats
- Research and integrate emerging AI and ML techniques
Perks/Benefits
Skills/Tech-stack
APIs | Adversarial Machine Learning | Amazon Web Services | Azure | Behavior analytics | C++ | CI/CD | Cloud platform | Cybersecurity | Data Privacy | Deep learning | Docker | EDR | Embeddings | Federated Learning | Git | Google Cloud | Google Cloud Platform | Java | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Malware classification | Phishing Detection | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SIEM | SQL | Scikit-learn | Secure Coding | TensorFlow | Threat Intelligence | User Behavior | User Behavior Analytics | Web Services
Education
Roles
AI | AI Engineer | Data Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
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