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AI Security Engineer - Bright Vision Technologies
Security Engineer
AI Security Engineer responsible for safeguarding AI-driven systems through threat modeling, secure ML pipeline design, and cloud security best practices using Python, AWS, and DevSecOps tools.
About the role
Key Responsibilities
- Design, implement, and maintain secure machine learning pipelines, ensuring data integrity and model confidentiality.
- Conduct threat modeling and risk assessments for AI applications, identifying vulnerabilities and recommending mitigations.
- Integrate security controls into CI/CD workflows, leveraging DevSecOps practices to automate security testing and compliance checks.
- Collaborate with data scientists and software engineers to embed security into model development and deployment processes.
- Monitor and respond to security incidents involving AI systems, performing root cause analysis and post‑incident reviews.
Requirements
- Strong background in machine learning engineering and experience with Python-based ML frameworks.
- Proven expertise in cybersecurity principles, threat modeling, and secure coding practices.
- Hands‑on experience with AWS services (S3, SageMaker, IAM, GuardDuty) and cloud security architecture.
- Familiarity with DevSecOps tools such as GitHub Actions, Terraform, and automated security scanning.
- Excellent problem‑solving skills and ability to communicate complex security concepts to cross‑functional teams.
Skills
machine learningpythonaws