Top Python Jobs in Toronto

Lead the architectural vision and technical strategy for eBay's Data Platform, focusing on building scalable and cost-efficient data systems and platforms.

As a Product Manager at eBay, you will drive the growth and trust of the collectibles category by launching features, enhancing customer experience, and leveraging data and AI for improved delivery and efficiency.

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

The Quantitative Developer will design and deploy quantitative models, collaborate with investment teams, optimize queries, and maintain existing tools while enhancing investment strategies.

The role involves analyzing complex business requirements in Capital Markets, designing SQL queries, working with enterprise data systems, and communicating findings to stakeholders.

The Data Architect will lead the design of a Customer Data Mart, ensuring scalable solutions, implementing data architectures, and mentoring teams. Responsibilities include defining data modeling standards and contributing to data governance initiatives.

The Sr. Software Engineer will develop AI compiler technologies, optimizing models for Tenstorrent hardware, and engage in collaborative problem-solving with a focus on open-source contributions.

Develop and maintain full stack software solutions for lidar products, manage cloud infrastructure, and optimize performance in a Linux environment.

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

Design and construct data modeling processes, create algorithms, develop machine learning models, and generate queries to support decision-making.

The Lead Software Developer will lead the development of scalable applications, ensuring code quality and managing complex projects while collaborating with teams to enhance architecture and solve technical issues.

The role involves designing, developing, and maintaining software systems for a search platform, utilizing AI and cloud technologies. Responsibilities include managing production systems, mentoring junior engineers, and participating in operational tasks with a focus on reliability and security.

Support Treasury operations including cash management, FX settlement, and risk management. Drive process improvements and develop metrics for operational excellence.

The Incident Response Specialist will lead and coordinate responses to cybersecurity incidents, conduct investigations, improve response processes, and support readiness through simulations and exercises.

The Senior Manager, Personal Lending Analytics will lead analytics engagements to evaluate client behaviors and optimize business decisions using AI and Machine Learning solutions, presenting insights to senior leaders to drive business growth.

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

The Design Verification Engineer will rigorously verify designs using UVM techniques, collaborating closely with digital and analog design experts, while defining DV methodologies and ensuring quality tapeouts.

Design, build, deploy, and maintain large-scale backend and distributed systems for Lyft's Incentives & Messaging Growth Platforms. Collaborate with product and ML teams, improve automation and reliability, and deliver well-tested, production-grade services.

The Cloud Infrastructure Engineer designs and maintains AWS cloud infrastructure, leading migration initiatives, automating deployments, and collaborating with teams to ensure security and performance.

The Senior ML Platform Engineer will develop scalable machine learning solutions, manage ML infrastructure, and ensure observability in ML workflows while collaborating with cross-functional teams.

Build full-stack products that put generative AI into creators' hands: design delightful UIs, optimize backend systems, ship AI-first features, design APIs and data models, and iterate rapidly with user feedback while collaborating across teams.

The Senior SQL Developer will execute marketing campaigns, perform SQL programming and data extraction in Snowflake, and improve data structures while ensuring data quality and compliance.

The role involves financial forecasting, analysis, and model development to enhance customer profitability and value analytics for BMO's Canadian Personal Portfolio.

The Senior Analyst, Actuarial will resolve complex problems, guide the team's work, and contribute to strategic projects in P&C insurance.

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.