Job Title: Security/Compliance Engineer (AI/ML Systems)
Work Location: Jersey City NJ (Hybrid)
Type: Contract
About the Role
This role focuses on securing modern AI/ML systems including LLM-based applications. You will design security architectures that protect data models and infrastructure from emerging threats specific to AI workloads.
What Youll Do
- AI Security Architecture: Implement secure design patterns for ML pipelines APIs and model endpoints.
- Threat Modeling: Identify and mitigate risks such as prompt injection model inversion data poisoning and adversarial attacks.
- Cloud Security: Enforce IAM encryption and network security across cloud platforms.
- Compliance Implementation: Ensure systems meet GDPR HIPAA SOC 2 and other standards through automated controls and audits.
- Monitoring & Response: Build logging and alerting systems for anomalous model behavior or unauthorized access.
What Youll Bring
- Background in cybersecurity with exposure to ML systems.
- Experience securing cloud-native architectures.
- Understanding of AI-specific vulnerabilities and mitigation strategies.
- Familiarity with DevSecOps and infrastructure-as-code tools (Terraform).
Job Title: Security/Compliance Engineer (AI/ML Systems) Work Location: Jersey City NJ (Hybrid) Type: Contract About the Role This role focuses on securing modern AI/ML systems including LLM-based applications. You will design security architectures that protect data models and infrastructure from em...
Job Title: Security/Compliance Engineer (AI/ML Systems)
Work Location: Jersey City NJ (Hybrid)
Type: Contract
About the Role
This role focuses on securing modern AI/ML systems including LLM-based applications. You will design security architectures that protect data models and infrastructure from emerging threats specific to AI workloads.
What Youll Do
- AI Security Architecture: Implement secure design patterns for ML pipelines APIs and model endpoints.
- Threat Modeling: Identify and mitigate risks such as prompt injection model inversion data poisoning and adversarial attacks.
- Cloud Security: Enforce IAM encryption and network security across cloud platforms.
- Compliance Implementation: Ensure systems meet GDPR HIPAA SOC 2 and other standards through automated controls and audits.
- Monitoring & Response: Build logging and alerting systems for anomalous model behavior or unauthorized access.
What Youll Bring
- Background in cybersecurity with exposure to ML systems.
- Experience securing cloud-native architectures.
- Understanding of AI-specific vulnerabilities and mitigation strategies.
- Familiarity with DevSecOps and infrastructure-as-code tools (Terraform).
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