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As a, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
Develop and implement novel methods to protect discriminative and generative AI models and systems from threats such as data extraction and model inversion attacks and collaborate with cross-functional teams to establish security best practices for model deployment
Integrate privacy-preserving techniques into AI model development while ensuring that ML models are built while safeguarding the privacy and security of data and data subjects
Apply your expertise in deep learning to address security and privacy challenges
Lead efforts to mitigate risks associated with data poisoning, prompt injection and other emerging threats and implement solutions that proactively enhance AI security and privacy in client and edge deployments.
Work closely with cross-functional teams to establish guidelines for secure and privacy-aware model deployment and communicate effectively to drive adoption of best practices
Essential Requirements
5 to 8 years of related experience
Strong AI/ML and security skills
Python programming
Solid applied research skills
Documentation, communication and problem-solving skills
Desirable Requirements
Bachelor’s degree /PhD is an asset
Ability to work in a team environment
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