AL/ML Security - Information Security
AL/ML Security - Information Security
Posted on :
14-07-2025
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1 Vacancy
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Job Description
Role: AL/ML Security - Information Security.
Location: Toronto ON (Hybrid).
Duration: Long Term Contract.
Required Skills & Qualifications:
- Identify analyze and benchmark Generative AI augmented LLM agentic security solutions in the market.
- Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.
- Define security control baselines and evaluation criteria for emerging risk security solutions.
- Evaluate vendor claims solution architecture and technical scalability.
- Security testing of GenAI-powered cybersecurity tools.
- Publish detailed reports on the security compliance and efficacy of evaluated products.
- Deliver and integrate AI robustness vulnerability and stress testing capabilities with MLOps ecosystems.
- Evaluate and assess open-source AI security libraries to build into enterprise AI stress testing and audit capabilities.
- Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.
- Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.
- Minimum Qualifications:
- Bachelors Degree in Data Science Statistics Computer Science or Software Engineering 2 years experience with Machine Learning Application Development 3 years of software engineering experience.
Preferred Qualifications:
- Masters Degree - Data Science Statistics Computer Science or Software Engineering Machine Learning Operation Professional Certifications Demonstrated peer reviewed journal publications conference presentations open-source contributions or similar activities.
- Strong knowledge of Adversarial Robustness techniques and tools for machine learning.
- Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.
- Hands-on experience with applying statistics machine learning algorithms (DNN NLP) big data and data science toolkits. Hands-on experience designing implementing and operationalizing high performant AI/ML pipelines and writing production code.
- Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments.
- Hands-on experience evaluating open-source ML tools frameworks and libraries.
- Hands-on experience with commonly used data science programming languages packages and tools.
- Hands-on experience with MLOps DevOps DataOps and API integrations.
- Hands-on experience with AI workload management.
- Hands-on experience with Cloud architecture design implementation and operations.
- Knowledge of application security controls (Web API Mobile AI).Knowledge of security domains common information security management and application frameworks: NIST 800-53 CSF OWASP ASVS.
- Knowledge of Secure SDLC Application Security design and DevSecOps Full stack knowledge of application architectures including: Single Page Applications REST APIs SOAP APIs Mobile Applications.
- Experience with Java Javascript and mobile application development.
- Knowledge or familiarity with database architectures including Oracle SQL DB2 and NoSQL Databases.
- Experience with Cloud security architecture design implementation and operations.
- Exposure to IAM Controls (OAuth 2.0 OIDC JWT)Strong familiarity with Cryptography Controls (Data at rest in motion).Certification - CISSP CISM CSSLP CISA CRISC.
Employment Type
Full-time
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