Threat Modelling & Red Teaming Security Engineer

Mphasis

Bengaluru

Sur place

INR 1 200 000 - 2 000 000

Plein temps

14 jours+

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Résumé du poste

A leading company is seeking an AI/ML Security Engineer to enhance the security of AI applications. This role involves designing governance frameworks and conducting threat assessments to protect AI models from vulnerabilities. Candidates should possess strong expertise in AI security and demonstrate exceptional problem-solving abilities. Familiarity with Python and AI libraries is essential, along with experience in Threat Modeling and Red Teaming.

Qualifications

Proven experience in AI/ML security and governance.
Strong knowledge of AI Governance frameworks.
Expertise in Threat Modeling techniques.

Responsabilités

Design and implement AI Governance frameworks.
Conduct Threat Modeling to identify vulnerabilities.
Perform Red Teaming exercises on AI systems.

Connaissances

AI/ML security

Threat Modeling

Red Teaming

Problem-solving

Python

Outils

TensorFlow

PyTorch

Scikit-learn

Description du poste

Threat Modelling & Red Teaming Security Engineer

We are seeking a highly skilled and motivated AI/ML Security Engineer to join our cutting-edge security team. You will be responsible for ensuring the security and governance of AI/ML models and systems, focusing on AI Governance, Threat Modeling, and Red Teaming. Your expertise will help safeguard critical AI applications from potential threats and vulnerabilities while establishing robust governance practices.

Key Responsibilities

Design and implement AI Governance frameworks to ensure security, compliance, and ethical use of AI models
Conduct Threat Modeling to identify vulnerabilities within AI/ML pipelines and develop mitigation strategies
Perform Red Teaming exercises to simulate real-world attacks on AI systems and evaluate their resilience
Collaborate with data scientists and ML engineers to build secure AI models that resist adversarial attacks
Develop and maintain security policies and best practices related to AI/ML applications
Monitor and assess AI model behavior to detect anomalies and potential security breaches
Stay up-to-date with the latest threats and vulnerabilities specific to AI/ML systems
Document and communicate findings to stakeholders, including detailed technical reports and recommendations

Skills and Qualifications

Must-Have:

Proven experience in AI/ML security and governance
Strong knowledge of AI Governance frameworks and risk management practices
Expertise in Threat Modeling techniques for AI/ML pipelines
Proficiency in conducting Red Teaming exercises with a focus on AI systems
Hands-on experience with Python and libraries related to AI and security (e.g., TensorFlow, PyTorch, Scikit-learn)
Familiarity with adversarial attack techniques and defense mechanisms in ML models
Solid understanding of cybersecurity principles and secure coding practices
Excellent problem-solving skills and the ability to analyze complex security scenarios

Good to Have:

Experience with ML model explainability and interpretability techniques
Familiarity with security frameworks like NIST and ISO related to AI/ML governance
Knowledge of cloud security (AWS, Azure, or GCP) related to AI deployments
Strong analytical and technical writing skills for documenting findings and solutions

Seniority level