Senior AI/ML Privacy Engineer

Are you passionate about pioneering the future of technology and making a real impact on the digital world? I am representing an award-winning Global innovation lab dedicated to keeping people connected by developing and orchestrating emergent technology. their focus is on creating the technology of tomorrow and driving co-innovation today.

Why this role should excite you:

As a Senior AI/ML Privacy Engineer, you will play a crucial role in ensuring the privacy of AI models and systems throughout their lifecycle. You'll leverage your expertise to proactively identify and mitigate risks such as data breaches, privacy violations, and ensuring compliance with data protection regulations. This involves implementing privacy-enhancing techniques to ensure responsible data handling and safeguarding of sensitive information.

This opportunity will give you the chance to:

• Contribute to the development of cutting-edge AI privacy solutions.
• Protect the privacy of millions of users worldwide.
• Collaborate with researchers at the forefront of the industry.
• Influence industry standards through participation in relevant organizations.
• Make a meaningful impact on the field of AI privacy and data protection.
• Develop methodologies for analyzing privacy and robustness of AI systems.
• Understand vulnerabilities in AI systems and how they can impact both privacy and security.
• Identify emerging privacy threats to AI systems and engage with the broader privacy community.
• Develop and influence best practices in AI privacy.
• Create models, tools, and datasets to characterize the privacy threats and vulnerabilities in AI systems.

Must-Haves:

• Master’s degree or PhD in computer science, data science, machine learning, cybersecurity, statistics, or relevant practical experience.
• 2 or more years of engineering experience.
• Proficiency in machine learning and AI concepts, including deep neural networks and large language models.
• Strong programming skills in languages such as Python or C .
• Familiarity with machine learning libraries like sci-kit learn, PyTorch, Pandas, and NumPy.
• Experience in implementing and applying AI/ML techniques to practical problems.
• Ability to develop frameworks or assessments to evaluate the effectiveness of technologies and share this knowledge within the community.

Nice-to-Haves:

• Publications and research in AI/ML.
• Privacy certifications such as CIPP (Certified Information Privacy Professional) or CIPM (Certified Information Privacy Manager).