Top Python Jobs in Toronto

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

The Revenue Systems Engineer will manage and enhance GTM systems, implement integrations, maintain HubSpot, ensure data quality, and collaborate with various teams.

Lead post-silicon bring-up and optimization of wafer-scale engines: develop debug flows, HW-SW codesign optimizations, build large-scale test infrastructure, create self-checking metrics and instrumentation, and collaborate across silicon, performance, and software teams to improve production performance and release processes.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

Lead post-silicon bring-up and performance optimizations for Cerebras Wafer Scale Engines. Develop/debug production-ready flows, instrumentation, and self-checking metrics. Build infrastructure for large-scale silicon workload testing, collaborate with silicon architects, performance and software teams, and streamline CI/CD and release workflows.

The Sales Engineer will manage technical relationships, design AI/ML solutions, deliver demos, train customers, and provide feedback to product teams.

Lead end-to-end analytical initiatives: define metrics, design dashboards, perform deep-dive analyses and A/B tests, partner with stakeholders and data engineers, mentor junior analysts, and communicate insights to inform business decisions.

Design, implement, and own scalable end-to-end data pipelines and infrastructure for cloud cost, usage, and emissions data. Partner with cross-functional teams to produce analytics-ready datasets, ensure data quality and observability, set technical standards, and mentor engineers to drive cost and carbon intelligence for strategic reporting and optimization.

Lead and mentor multiple engineering teams, manage project delivery and execution, foster innovation, and oversee performance management within a financial services organization.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

As a Software Developer, you will design, implement, and enhance applications, collaborating with an agile team to solve complex problems and improve production systems.

Lead design, implementation, and optimization of large-scale ML models and recommender systems for ad-tech and mobile gaming. Oversee end-to-end data science projects, deploy production DNNs, build A/B testing frameworks, mentor junior staff, and collaborate with Product, Marketing, and Engineering to drive user personalization and monetization.

As a Customer Support Engineer, you'll troubleshoot Kubernetes and vCluster issues, provide technical support, collaborate with engineering, and document solutions to improve the support process.

Drive technical wins in the enterprise sales cycle by running discovery, tailoring demos, configuring complex commission and data models, collaborating on deal strategy, and partnering cross-functionally to influence product and ensure customer success. Mentor peers and contribute to process improvements.

Manage and improve Docebo's cloud infrastructure to ensure high availability, security, and scalability. Implement automation and IaC, support deployments, monitor systems with Datadog, troubleshoot issues, and lead infrastructure projects with development teams.

As a Staff Machine Learning Engineer, you will design scalable AI infrastructure, implement AI systems, lead technical decisions, and collaborate with teams to enhance AI/ML solutions.

The Analytics Engineer will create Tableau dashboards, drive analytics projects, collaborate with data teams, and support data visualization and insights. Requires 3+ years in analytics and proficiency in SQL, Excel, and Tableau, among other technologies.

As a full-stack software engineer intern, you'll collaborate with senior engineers to write quality code, build AI-driven products, and improve engineering productivity.

As an AI Performance Architect, you will analyze and optimize AI workloads on Tensix architecture, linking architecture with software and hardware to enhance efficiency and scalability.

The Business Systems Engineer translates business requirements into technical specifications, designs integration solutions, supports e-commerce and ERP platforms, troubleshoots issues, and collaborates across teams in a remote environment.

As a Senior AI Engineer, you will design LLM-powered AI systems, build RAG pipelines, solve complex information retrieval problems, and collaborate across teams for robust AI solutions.

The Data Platform Support Engineer will manage EDGE Data Platform support, automate tasks, troubleshoot data issues, and collaborate with Site Reliability Engineers to ensure data pipeline health.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

The role involves developing NLP solutions leveraging AI/ML techniques for healthcare, collaborating with various teams, and mentoring on advanced methods.