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Product Security and QA Lead @ US Based GCC Captive

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 Product Security and QA Lead

Job Description

    As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authentication. You will conduct threat assessments specific to edge AI environments, identify vulnerabilities in AI models, edge devices, and communication channels, and establish security testing protocols such as penetration testing, vulnerability assessments, and adversarial AI testing. Compliance management will also be a key aspect of your role, as you ensure adherence to industry standards and emerging AI governance frameworks, including ISO 27001, NIST, GDPR, and CCPA. Additionally, you will implement privacy-preserving techniques for edge AI, such as federated learning, differential privacy, and secure multi-party computation. In terms of quality assurance leadership, you will develop and execute comprehensive QA strategies for edge AI products, including model validation, performance testing, and reliability assessment. You will create detailed test plans covering functional, performance, security, and AI-specific testing scenarios, and lead and mentor QA engineers, security analysts, and test automation specialists. Establishing KPIs and metrics for product quality, security posture, and AI application/model performance will be essential, along with continuously optimizing testing processes and methodologies for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, threat modeling, security testing methodologies, machine learning algorithms, model training, inference, AI system architectures, edge computing platforms, IoT devices, distributed AI systems, programming proficiency in Python, C/C++, and scripting languages, experience with security testing tools, AI frameworks, cloud platforms, and testing frameworks will be crucial for success in this role. Join Aptiv to be part of an inclusive work environment that fosters growth and development for all individuals, regardless of gender, ethnicity, or beliefs. Make an impact by contributing to a safer world with zero fatalities, zero injuries, and zero accidents. Benefit from resources and support for your family, physical, and mental health, including competitive health insurance. Enjoy hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP Employee Assistance, access to fitness clubs, and creche facilities for working parents. Apply today to be a part of shaping tomorrow at Aptiv!,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Product Security and QA Lead

Contact Details:

Company: Aptiv
Location(s): Karnataka

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Keyskills:   compliance management test planning model validation performance optimization device integration

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US Based GCC Captive

We are a global industrial technology organization focused on driving innovation in healthcare, safety, environmental monitoring, and precision engineering. With a presence in over 50 countries and a team of more than 17,000 professionals, we are committed to delivering data-driven solutions that so...