We are seeking talented and ambitious professionals to join our Product Security Professional Services team. In this strategic role, you will leverage your expertise in the AI/ML Security domain to guide clients towards secure and efficient strategies, architectures, and integrations.
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You will collaborate with cross-functional teams and manage a team of security engineers and consultants on projects focused on end-to-end system integrity and trustworthiness. Your responsibilities will include:
- Designing and assessing architectures to ensure integrity, making sure data, models, and outputs reliably reflect user inputs and real-world conditions.
- Designing secure data handling practices throughout the model lifecycle to prevent unauthorized access and data leakage.
- Creating comprehensive security solutions that incorporate AI within the broader product ecosystem, aligning them with client requirements and regulatory standards.
- Expanding secure AI architectures, frameworks, and solutions on cloud/backend and edge systems.
- Researching technologies that align with client strategies and requirements, and reviewing product security designs.
- Documenting and presenting product security risks in both technical and business-oriented language.
Minimum Qualifications:
- MSc or BSc in Computer Science, Information Security, AI/ML, Computer Engineering, or equivalent practical experience.
- 8+ years in Cybersecurity, including at least 3+ years in AI security or secure software architecture for AI/ML powered solutions.
- 2+ years of experience designing and implementing trustworthy and secure AI solutions within complex environments.
- Proficient in English with excellent communication skills.
Required Skills:
- In-depth understanding of AI/ML security, including adversarial machine learning and model robustness.
- Proficiency in programming languages such as Python, Java, Scala, or C++, and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch).
- Extensive experience in producing and reviewing platform security architecture, threat modeling, and secure data management.
- Hands-on experience securing AI/ML deployments on cloud platforms (e.g., AWS, Azure, GCP).
Nice-to-have Skills:
- Familiarity with frameworks for deploying AI at the edge, such as TensorFlow Lite and PyTorch Mobile.
- Understanding of hardware accelerators like GPUs and TPUs for edge devices.
- Experience with confidential computing, virtualization, enclaves, containers, and attestation technologies.
If you are ready to contribute to cutting-edge cybersecurity solutions and have a passion for the AI/ML security domain, we encourage you to apply.
