Full Stack AI Engineer - Security
Tasks
- Analyze adversarial attacks threat modeling and secure model design
- Build MLOps pipelines and deploy AI protections in containerized environments
- Build real time data ingestion feature engineering and streaming pipelines
- Design and architect AI and ML models for security threats
- Detect and prevent fraud abuse and intrusion
- Develop high performance low latency APIs and microservices
- Implement automated incident response and remediation workflows
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial ML | Anomaly Detection | Cybersecurity | Data Pipelines | Django | Docker | FastAPI | Feature Engineering | Flask | Fraud Detection | Graph Analysis | Kafka | Kubernetes | Language Processing | Low Latency | Microservices | Natural Language | Natural Language Processing | OWASP | PyTorch | Python | REST API | SQL | Scikit-learn | Streaming Data | Streaming data pipelines | TensorFlow | Threat modeling | Time Series | Trust and Safety
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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