onsite
Artificial Intelligence Cybersecurity Engineer - Entarian
Security Engineer
Design and secure end‑to‑end machine learning pipelines, automate AI model deployment, monitor model health, detect data drift, and build scalable infrastructure with robust logging and dashboards.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end machine learning pipelines for production AI workloads.
- Automate model deployment, scaling, and rollback using container orchestration and cloud services.
- Develop monitoring solutions to track model performance, data drift, and security anomalies.
- Create centralized logging and observability dashboards for AI systems.
- Collaborate with security teams to embed threat detection and hardening practices into AI infrastructure.
Requirements
- Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Hands‑on expertise in cloud platforms (AWS) and container technologies (Docker, Kubernetes).
- Proven ability to build CI/CD pipelines for model versioning, testing, and deployment.
- Knowledge of data drift detection techniques and model monitoring tools.
- Understanding of cybersecurity principles applied to AI/ML environments, including logging, access control, and threat monitoring.
Skills
pythonmachine learningawsdockerkubernetes