Top Python Jobs in Toronto

As a Photonics Test Engineer, you will develop and optimize high-precision measurement systems for photonic devices, focusing on error analysis, uncertainty management, and collaboration with design teams.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

The role involves developing Python applications, collaborating with teams, addressing complex problems, and ensuring compliance with regulations while utilizing advanced data and cloud technologies.

Design and build GenAI systems, develop knowledge pipelines, evaluate model performance, integrate AI into products, mentor peers, and drive AI innovation.

Lead the Kafka, Managed File Transfer, and RPA teams, ensuring 24/7 support, operational excellence, and service reliability for data platforms.

The Data and Reporting Analyst will develop dashboards in Power BI, perform data modeling, and manage permissions, contributing to data-driven decision-making.

As a Senior Data Scientist, you will analyze complex datasets to provide actionable insights, mentor analysts, and collaborate cross-functionally to improve product outcomes.

As a Data Analyst, you will analyze data to solve business problems, enhance data workflows, and provide insights, focusing on insurance data. You'll validate SQL logic, use Python for data processes, and collaborate with stakeholders to meet business objectives.

Lead initiatives in data integration, engineering data solutions, building ML model pipelines, and coaching junior resources while ensuring high standards and best practices.

The Associate, Resource Analytics supports Global Finance by delivering analytics, optimization tools, and insights for trading and capital management. Responsibilities include developing analytics, enhancing reports, and collaborating with various teams to improve decision-making and resource deployment.

The Associate will design technology solutions for investment decision-making, maintain data infrastructure, and provide advanced analytics for investment lifecycle support.

The role involves preparing financial reports, ensuring compliance with regulations, participating in financial transformation projects, and supporting automation and process improvements.

Join TD SYNNEX as an AI Engineering Intern, collaborating on AI projects with data scientists and developers, designing and implementing AI solutions, and gaining invaluable hands-on experience.

The Senior Data Scientist - GenAI develops analytical solutions using ML and AI techniques, focusing on generative AI projects, model optimization, and collaboration with engineers to enhance business processes.

The Director of Global Risk Data and Analytics leads the strategy and evolution of data products, ensuring quality and usability across risk functions while managing data governance and partnerships with technology leaders.

As a Full Stack Engineer at eBay, you will design and develop scalable software architectures on AWS, own features end-to-end, review code and collaborate across teams to create consumer-facing experiences.

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

The Associate Verification Engineer validates hardware and test systems, executes verification tests, develops automated tests, and collaborates with teams to ensure product reliability and compliance.

The role involves designing and implementing ML pipelines, optimizing models for production, collaborating with scientists and engineers, and ensuring responsible AI practices.

The Data Analyst will analyze data to enhance digital experiences, develop personalization strategies, and collaborate with teams to optimize customer engagement.

Build, deploy, and operate production-grade GenAI/ML services: containerize and orchestrate models, implement CI/CD, observability, APIs, RAG/agent patterns, and collaborate with data, cloud, and security teams to ensure scalable, secure, and reproducible LLM/ML pipelines.

The Data Scientist II role involves using data science techniques to derive insights, collaborating with teams, and improving business processes based on data findings.

Lead and inspire cross-functional teams to create innovative data products, automate processes, and empower business leaders with actionable insights. Focus on integration, analytics, and maintaining data governance standards.

The IT Support Analyst will provide application support for trading systems, engage with various stakeholders, and develop technology solutions, particularly relating to Fixed Income Trading.

Oversees data management, ensures quality and security, implements cloud architecture, and builds data pipelines while collaborating with stakeholders.