Top Python Jobs in Toronto

The Client Enablement Analyst supports client onboarding by developing automation solutions, maintaining client documentation, conducting data analysis, and improving operational efficiency.

The IT Systems Engineer II will implement automation, manage macOS systems, and support IT operations to optimize efficiency and enhance workflow.

The role involves leading analytics teams to develop data models, dashboards, and insights, translating findings for stakeholders and ensuring high data quality and semantic consistency.

Design and develop analog circuits for high-speed SerDes applications, optimizing performance, testing designs, and mentoring engineers. Collaborate across teams to ensure designs meet specifications and drive technical direction.

Lead design and validation of analog circuits for high-speed SerDes applications, guiding junior engineers, and collaborating across functions. Requires extensive experience in analog/mixed-signal design.

The Credit Risk Strategist develops credit risk strategies, analyzes customer segments, and refines strategies to balance risk and profitability for the credit card portfolio.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

As a Staff Full Stack Developer, you will lead technical strategy and oversee both frontend and backend developments, ensuring integration and performance of Dialogue's ServiceOS while mentoring the engineering team.

As a Senior Data Engineer, you will build a data platform, create data pipelines for market and trade data, and collaborate with traders and quants to enhance analytical workflows.

Assist in 3D modeling of mechanical components and developing code for robots, integrating sensors, and preparing technical reports for manufacturing.

Assist in designing robotic systems with embodied AI capabilities. Implement perception pipelines, develop interaction loops, and collaborate on prototypes using various tools.

The role involves building LLM-powered AI agents for cloud services, translating academic concepts into production-ready code, and conducting applied research on AI-driven systems, focusing on performance and stability.

Lead the design of enterprise-grade cloud infrastructure for a large-scale data platform on AWS. Oversee architectural standards, compliance, and high-volume data systems. Provide strategic and hands-on leadership to ensure resilient and scalable systems that support data ingestion and analytics workloads.

The Senior Customer Analytics Manager will lead analytical efforts to influence business decisions, focusing on customer behavior and performance across various domains, partnering with teams to drive insights and improvements throughout the customer journey.

Lead technical ownership across managed services projects, focusing on architecture, system integrations, and mentoring developers to ensure quality and performance.

The Credit Risk Strategist develops credit risk strategies and analytics, monitors performance, and collaborates with partners to optimize credit management.

The AI Developer will build and maintain data pipelines, design RAG systems, develop AI workflows, and ensure production reliability in healthcare settings.

As a Data Analyst, support client teams by translating business questions into analytical requirements, analyzing data trends, building dashboards, and improving reporting processes while collaborating with cross-functional teams.

As a Senior Data Analyst, you lead analytics initiatives, drive reporting solutions, mentor junior analysts, and partner with stakeholders to inform strategies and decisions through data.

Lead the documentation team, improve developer experiences, and ensure high-quality documentation for APIs and SDKs. Collaborate with product and engineering teams to drive documentation strategy and content quality.

The DSX eSub/COE Specialist develops strategies for electronic regulatory submissions, ensuring compliance and quality across multiple studies in Analytical Data Science while collaborating with cross-functional teams.

As a Data Analytics/ Data Engineer New Grad, you'll work directly with clients to implement analytics solutions, design data models, create complex queries, and develop scalable data management architectures while ensuring project deadlines and quality standards are met.

As a Senior Fullstack Ads Engineer, you will own projects end to end, optimize frontend performance, and contribute to the server-driven UI framework while collaborating with PMs and designers.

The role involves building data infrastructure for optimization, automating business risk processes, developing dashboards, and providing analytics training using Power BI and M365 tools.

The QA Analyst will develop and maintain automated tests, collaborate in an Agile team, and ensure quality across applications through innovative QA practices.