AI/ML Security Specialists

3cix Ltd.; Dubai; On-site; USD 80,000 - 150,000; Full time

Job summary

A leading company in cybersecurity is seeking an AIML Security Specialist to enhance the security of AI model deployments. The role involves developing security frameworks, conducting risk assessments, and monitoring AIML system integrity to protect against emerging threats. Candidates should have a solid foundation in AI and ML technologies, along with significant expertise in security applications. This position offers the opportunity to influence best practices in a cutting-edge field with a competitive compensation package.

Qualifications

• Strong background in AI and ML technologies.
• In-depth knowledge of AIML algorithms and frameworks.
• Expertise in identifying and mitigating security risks in AIML systems.

Responsibilities

• Secure AIML pipelines from development through production.
• Conduct risk assessments on AI models.
• Monitor AIML model behavior for adversarial activity.

Skills

Cybersecurity

Adversarial attacks

Data privacy

Vulnerability assessments

Penetration testing

Education

Degree in Computer Science or related field

Tools

TensorFlow

scikit-learn

PyTorch

Job description

Role SummaryThe AIML Security Specialist will secure AIML model deployment, develop security frameworks for machine learning systems, and monitor AIspecific threats. This role addresses the emerging risks associated with AI technologies. Job DescriptionSecuring AIML pipelines from the development phase through to production, including the implementation of safeguards against model poisoning and adversarial attacks. Conducting risk assessments on AI models, ensuring that privacypreserving techniques such as federated learning and homomorphic encryption are integrated where necessary. Developing comprehensive security frameworks for machine learning algorithms, including guidelines for securing datasets, managing model biases, and ensuring robustness against adversarial inputs. Incorporating best practices for protecting model integrity from data breaches, using techniques such as watermarking and model fingerprinting. Monitoring AIML model behaviour postdeployment for any signs of adversarial activity, such as input manipulation or model degradation. Incident Response and Forensic Analysis of Telecom Nodes to Conduct Compromise AssessmentThreat Hunting.

Desired Candidate Profile

We are looking for talented AIML Security Specialists to join our cybersecurity team. The ideal candidates should have a strong background in artificial intelligence AI and machine learning ML technologies, with a focus on security applications. Indepth knowledge of AIML algorithms and frameworks, such as TensorFlow, scikitlearn, or PyTorch, is essential. Candidates should demonstrate expertise in identifying and mitigating security risks in AIML systems, including model poisoning, adversarial attacks, and data privacy concerns. Experience in implementing security measures, such as encryption, authentication, and access control, within AIML environments is highly desirable. The ability to conduct vulnerability assessments and penetration testing on AIML models is crucial to ensuring their resilience against cyber threats. Candidates must stay abreast of emerging threats and security trends in the AIML landscape and proactively recommend and implement security best practices. Effective communication skills and the ability to collaborate with crossfunctional teams, including data scientists and cybersecurity experts, are key to success in this role. RequirementsStrong background in AI and ML technologies. Knowledge of AIML algorithms and frameworks TensorFlow, scikitlearn, PyTorch. Expertise in identifying and mitigating security risks in AIML systems. Experience in implementing security measures within AIML environments. Ability to conduct vulnerability assessments and penetration testing on AIML models. Knowledge of emerging threats and security trends in the AIML landscape. Effective communication and collaboration skills. Proactive approach to recommending and implementing security best practices.

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