Top AI & Machine Learning Jobs in Toronto, ON

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

Support building and scaling program governance for Mastercard's Agent Suite AI product. Design governance frameworks, technical workflows, reporting dashboards, and KPIs; drive automation, budget tracking, stakeholder alignment, and continuous improvement to ensure compliant, resilient, and efficient operations.

Lead AI-native engineering teams to design, build, test, and deploy large-scale, data-oriented, customer-facing applications using Generative AI, LLMs, and agentic patterns. Define engineering vision and AI-native SDLC, partner with product, leverage data technologies (e.g., Databricks), mentor talent, and drive 0→1 prototypes to production with strong backend (Java/Python) and frontend (React/Next.js) engineering.

Lead Mastercard's AI thought leadership: monitor AI/data trends, produce research and executive content, manage end-to-end content lifecycle, measure program impact, and represent the company at events while partnering with product, engineering, marketing, and executives.

Design and deliver enterprise-scale AI platform capabilities: architect cloud-native, scalable AI systems, build backend services and reusable platform components, define standards for deployment, observability, security and resilience, lead architecture and governance reviews, contribute hands-on development, and mentor teams to drive enterprise AI adoption.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

Lead design and delivery of enterprise-scale AI/ML solutions for Ethoca, building and governing models (NLP, generative, multi-modal) to reduce chargebacks, improve dispute resolution, and scale production systems across cloud environments.

Lead development, deployment, and monitoring of end-to-end ML/DL/AI solutions. Responsibilities include data extraction, cleaning, modeling, evaluation, production deployment, documentation, and presenting results. Collaborate across teams, build prototypes and POCs, protect IP, and disseminate knowledge externally.

Lead a small team and contribute hands-on to design, develop, deploy, and iterate AML and crypto risk detection machine learning models. Own technical roadmap, collaborate with Product and Engineering, ensure model quality, explainability, documentation, and governance, and drive production performance and outcomes across the model lifecycle.