Top Python Jobs in Toronto

The Senior Application Architect designs and oversees software architecture, ensures application scalability and security, integrates systems, and leads project implementation.

Design and develop Generative AI platforms, ensuring scalability and integration of AI capabilities, while leading innovative projects and mentoring developers.

The Senior Data Architect will design data architecture and integration workflows for PM2PA, focusing on optimizing collaboration and ensuring data quality within Oracle EBS and cloud environments.

The Senior Customer Support Consultant will assist clients with optimization, risk analysis, and product training, collaborating with sales and providing specialized guidance. Requires problem-solving skills and relevant educational background.

The GenAI Platform Engineer will design, develop, and maintain Generative AI platforms using Python, Node.js, and TypeScript, ensuring scalability and integration across Citi's business units while mentoring junior members and collaborating on innovative projects.

Lead product-focused analytics for seller and listing performance: define KPIs, build/maintain data models and ELT pipelines, run experiments and impact measurement, deliver dashboards and automated reporting, use AI-assisted tools and analytics agents, and mentor junior analysts to drive business outcomes.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

Design, develop, test, and maintain Java-based enterprise applications and APIs. Lead solution design for scalable, available systems, troubleshoot complex issues, implement security measures, coach junior analysts, and support deployments including containerization and CI/CD.

As a Senior Platform Engineer, you will enhance the developer experience by building AI platforms, managing infrastructure, and collaborating across teams to improve software delivery.

Lead R&D data science projects from experimentation to production, using PySpark/Scala and ML to analyze listener behavior, develop explainable models, collaborate cross-functionally, document results, and present findings to stakeholders.

Design and build scalable full‑stack enterprise solutions with a product focus, driving adoption of Generative AI/LLMs, agentic flows, integrations, and automation. Collaborate across teams, promote engineering best practices, and deliver iterative, high‑performance distributed systems.

The Data Engineer will design and build robust data pipelines using Microsoft Fabric and Azure services, focusing on both structured and unstructured data processing, ensuring data quality and supporting analytics and AI-driven insights.

As a DevOps Engineer, you will maintain and evolve platforms on GKE/GCP, build CI/CD pipelines, manage infrastructure as code, and improve observability. Collaborate with teams on deployments and incident responses, and document processes.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

The Senior Software Engineer will develop LLM-powered agents for search and retrieval systems, optimize backend architectures and workflows, and evaluate agent performance while collaborating with teams to enhance customer experience.

As a Software Engineer, AI at Klue, you will design and implement LLM-powered retrieval systems, optimize workflows, and collaborate closely with product teams.

Design, develop, and deploy specialized AI agents and tool integrations to automate design and development workflows. Build interfaces (MCP/Function Calling), perform prompt engineering, enforce accessibility and quality standards, collaborate with product/design/engineering, and extract metrics from agentic workflows to improve UX and compliance.

Lead HR data analysis, integrity, migration, and reporting for Workday and related systems. Define requirements, build custom reports, establish reporting governance, execute testing and release management, and train team members. Collaborate cross-functionally on integrations, system enhancements, and data assurance to enable HR decision-making and workforce planning.

Design and build scalable production data pipelines and warehouse models to support AI, analytics, and product teams. Own ingestion, transformation, testing, monitoring, and data quality. Build shared platform capabilities, collaborate cross-functionally, and define practices and cloud architecture for a new regional data engineering team.

Lead the design and implementation of data architecture for Arteria AI, focusing on data modeling and the ClickHouse-based data product. Collaborate with product teams, write Python code, and mentor engineers while ensuring data integrity for regulated industries.

The role involves designing and building scalable software architectures, owning features end-to-end, collaborating across teams, and improving application performance.

The Staff Software Engineer will lead the design and delivery of AI-driven backend systems, influencing technical strategy, driving cross-team initiatives, and mentoring engineers.

Design and develop scalable backend services and APIs for an AI-powered platform, focusing on system architecture and mentoring junior engineers.

Lead a team focused on data and ML systems at eBay, driving architectural decisions, product execution, and best practices in ML applications.