Artificial Intelligence Security Specialist

2 days ago

rajkot, India beBeeResearch Full time

Job OpportunityWe are seeking a highly motivated individual to join our AI Security Engineering team as an AI Security Research Intern.This role offers hands-on experience with researching security aspects of AI and Machine Learning services across major cloud platforms. You will work on exploring and documenting AI/ML services, identifying active and inactive AI services within cloud environments, and collecting deployment details.As an AI Security Research Intern, you will perform end-to-end analysis of each AI service to understand its purpose and architecture, supported models, input/output behavior, security features, and content-safety modules.Additionally, you will identify available APIs, endpoints, parameters, and response patterns for each AI service, explore official SDKs, and understand authentication mechanisms.You will also extract and analyze metadata for AI services, including model versions, deployment region, network configuration, access control settings, logging, and monitoring settings.Evaluate AI service configurations to detect access control weaknesses, unrestricted endpoint exposure, lack of content-safety controls, improper network/firewall settings, weak authentication mechanisms, and document findings with clear pass/fail criteria.Convert metadata analysis into testable security controls for AI security evaluation, create baseline security benchmarks for AI services across cloud providers, and conduct threat modeling for AI systems focusing on model misuse and prompt-based attacks, data poisoning risks, model inversion, unauthorized access, abuse of deployed AI endpoints, and propose mitigations based on recognized AI threat frameworks.Build minimal PoCs to test API behaviors, content-safety features, and service guardrails, validate security findings using SDKs, scripts, Postman, and cloud CLI tools.This role is ideal for students or early-career professionals passionate about AI, security, and cloud technologies who want to build a career in the emerging field of AI Security and AI Governance.Required Skills and QualificationsBasic understanding of cloud platforms (Azure/AWS/GCP).Good programming knowledge in Python or Node.js.Familiarity with REST APIs and SDK usage.Understanding of AI/ML concepts (models, training, inference).Knowledge of authentication (OAuth2.0, API Keys, IAM roles) is a plus.BenefitsDeep understanding of AI security across cloud ecosystems.Hands-on experience with Azure OpenAI, AWS Bedrock, GCP Gemini, and other AI services.Real-world exposure to AI misconfigurations and threat modeling.Building security controls, benchmarks, and testable validations for AI services.Developing automation scripts for cloud and AI security checks.

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