AI Security Specialist

21 hours ago

Gandhinagar, Gujarat, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Opportunity:

We are seeking a highly skilled Artificial Intelligence Security Specialist to join our team.

About the Role:

  • This position requires collaboration with AI/ML and Security architecture teams to understand use case requirements, platform security posture, and develop software solutions to protect AI applications.
  • The ideal candidate will design and implement robust security measures to protect AI models from adversarial attacks, prompt injection, and jailbreaking attempts.
  • Data protection mechanisms must be developed to prevent data exposure in AI systems.
  • API services for AI security tools using modern frameworks will be created and maintained.
  • Monitoring solutions for AI security posture assessment will be built and enhanced.
  • Cross-functional teams will collaborate to integrate security controls into ML/AI workflows.
  • Data loss prevention capabilities will be implemented for sensitive information across various communication channels.
  • Security processes, architecture, and implementation details will be documented.

Requirements:

  • A minimum of 8 years of full-stack development experience using Java, with hands-on experience in building scalable web applications.
  • A strong foundation in machine learning, including model development, training, and integration into production systems.
  • The ability to deliver end-to-end intelligent solutions by combining robust backend systems with AI-driven features.
  • Experience with modern frontend frameworks such as React or Angular for creating responsive and user-friendly interfaces.
  • A minimum of 3 years' experience in API development based on REST, gRPC methodologies using FastAPI, Spring REST, or similar frameworks.
  • A minimum of 3 years' experience in development and maintenance of cloud-native applications using Kubernetes or other container management solutions.
  • Experience with development, deployment, performance tuning, and maintenance of AI models and applications on cloud platforms.

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