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Job Title :-AI/ML Security Engineer - Information SecurityJob Location :- Toronto, ON Hybrid -3 day onsite mandatory Mandatory Skills Must Have : Gen-AI , LLM security solution, ML, MLOpsGood to have : Cloud Architecture, CryptographyPrimary Responsibilities:o Identify, analyze, and benchmark Generative Al augmented, LLM agentic security solutions in the market.o Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.o Define security control baselines and evaluation criteria for emerging risk security solutions.o Evaluate vendor claims, solution architecture, and technical scalability.o secunity testing of GenAI-powered cybersecurity tools.o Publish detailed reports on the security, compliance, and efficacy of evaluated products.*o Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.o Evaluate and assess open-source Al security libraries to build into enterprise AI stress testing and audit capabilities.o Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.o Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.Minimum Qualifications:o Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineeringo 2- years experience with Machine Learning Application Developmento 3+ years of software engineering experiencePreferred Qualifications:o Master's Degree - Data Science, Statistics, Computer Science, or Software Engineeringo Machine Learning Operation Professional Certificationso Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.o Strong knowledge of Adversarial Robustness techniques and tools for machine learningo Strong knowledge of AI Risk Management frameworks and Trustworthy Al practices.o Hands-on experience with applying statistics, machine leaming algorithms (DNN. NLP), big data, and data science toolkits. Hands-on experience designing, implementing. and operationalizing high performant AI/ML pipelines and writing production codeo Hands-on experience with deploying and operationalizing AIML models to public cloud environments.o Hands-on experience evaluating open-source MIL tools, frameworks, and libraries.o Hands-on experience with commonly used data science programming languages, packages, and tools.o Hands-on experience with MLOps. DevOps. DataOps and API integrations.o Hands-on experience with Al workload management. Hands-on experience with Cloud architecture design, implementation, and operations.o Knowledge of application security controls (Web, API, Mobile, AL).o Knowledge of security domains. common information security management and application frameworks: NIST 800-53, CSF. OWASP ASS.o Knowledge of Secure SDLC, Application Security design and DevSecOpso Full stack knowledge of application architectures including: Single Page Applications, REST APIs, SOAP APIs. Mobile Applications.o Experience with Java, Javascript and mobile application development.o Knowledge or familiarity with database architectures including Oracle, SQL. DB2 and NoSQL Databaseso Experience with Cloud security, architecture, design, implementation, and operationso Exposure to IAM Controls (Auth 2.0, OIDC, JWI)o Strong familiarity with Cryptography Controls (Data at rest, in motion).Certifications - CISSP. CISM. CSSLP, CISA. CRISC