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AI/ML Security Specialist
3 weeks ago
A highly skilled and motivated AI Security Architect/Engineer will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities:- Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
- Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
- Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
- Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
- Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
- Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
- Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
- Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
- Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
- Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
- Monitor model performance and retrain models as needed to adapt to evolving threats.
- Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
- Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
- Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
The ideal candidate should have a strong background in AI/ML and security, excellent problem-solving skills, and experience working in an Agile environment. They should be able to collaborate effectively with cross-functional teams and communicate complex technical ideas to non-technical stakeholders.