Top Python Jobs in Toronto

The role involves designing scalable static analysis frameworks, developing techniques for AI issues extraction, collaborating with teams, and building parsers for various programming languages.

As a Full Stack Software Engineer, you will design and build product features, ensuring resilience and scalability while collaborating with AI researchers.

Lead and grow the SDK and Integrations team to design and build SDKs and APIs for enterprise security tools, while ensuring a high-quality developer experience.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Endpoint Engineer designs and develops data exfiltration prevention software for MacOS or Windows, ensuring security and reliability. Responsibilities include maintaining critical agents, owning features, and documenting services.

As a Senior Staff Developer at Jane, you'll lead technical strategy for scheduling systems, mentor developers, and drive architectural decisions to enhance healthcare practices.

The Principal Data Scientist will lead the development of machine learning models and analytics solutions, collaborating with cross-functional teams to address complex business problems and ensure successful model deployment.

As a Quantitative Researcher, you will conduct quantitative modeling and analysis for evergreen private equity portfolios, support liquidity management, and collaborate on client engagements using large datasets.

The Head of Fraud will develop data-driven strategies for risk mitigation, lead a new team, and partner with various departments.

As Analytics Lead, you will analyze rider experience, create metrics, develop dashboards, and collaborate with teams to enhance Lyft's rideshare services.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The Release Engineering Manager will lead a team overseeing the planning, execution, and delivery of software releases, ensuring successful deployment across various environments.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

Design and implement AI-driven financial systems for autonomous integration in various sectors. Engage in independent AI research and develop financial analytics tools.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Chief of Staff/Business Operations Manager will drive strategic initiatives, optimize processes, and collaborate with executives to achieve company objectives.

Lead the design and development of AI-native enterprise platforms, mentoring junior engineers and fostering collaboration across teams while ensuring operational excellence.

As a Staff Software Engineer, you'll design scalable AI capabilities, build resilient cloud systems, and ensure operational excellence while mentoring teams and contributing to architectural evolution.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Lead the AI quality strategy and develop testing frameworks for AI-driven software targeting legal professionals, ensuring system performance and scalability.

The Lead DevOps Engineer will define system architectures, mentor engineers, oversee CI/CD pipelines, and ensure solutions meet security and compliance requirements.

Design and maintain AWS infrastructure using Terraform and Terragrunt, focusing on automation and reliability. Support production systems and improve deployment workflows.

Lead AI project execution, optimize AI performance, design scalable solutions, mentor team members, and stay updated on AI developments.