We are looking for talented and ambitious professionals to join our Product Security Professional Services team and support our mission to deliver top-tier cybersecurity services and solutions. In this strategic role, you’ll leverage your expertise in the AI/ML Security domain to guide our clients towards secure and efficient strategies, architectures, and integrations, helping them achieve their cybersecurity goals.
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As a Key Contributor, you will:
- Collaborate with cross-functional teams and manage a team of security engineers and consultants in projects that involve end-to-end system integrity and trustworthiness.
- Design and assess architectures and implementations that ensure integrity across the entire system.
- Handle and process secure data throughout the model lifecycle to prevent unauthorized access and data leakage.
- Develop comprehensive security solutions that securely incorporate AI within the broader product ecosystem, aligning with client requirements and regulatory standards.
Your Day-to-day Duties Will Include:
- Creating, reviewing, and expanding secure AI architectures and solutions on cloud/backend and edge systems.
- Assisting in collecting, translating, and fine-tuning the security requirements of AI-powered solutions.
- Researching and proposing technologies that satisfy the client’s established requirements.
- Evaluating product security designs, documenting missing security controls, and proposing security improvements.
- Conducting security posture assessments through various methodologies and aligning output implementation with security architecture and requirements.
- 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 of experience in Cybersecurity with at least 3+ years specifically in AI security, machine learning engineering, or secure software architecture for AI/ML powered solutions.
- Proven experience of 2+ years in 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, data integrity, and model robustness.
- Proficiency in programming languages such as Python, Java, Scala, or C++, and familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Extensive experience producing and reviewing platform security architecture.
- Experience with threat modeling, secure data management, and privacy-preserving techniques specific to AI.
- 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 hardware accelerators like GPUs and TPUs for edge devices.
- Familiarity with deploying and monitoring AI models on edge devices, and a strong background in confidential computing and virtualization technologies.