Top Python Jobs in Toronto

The role involves integrating AI capabilities into the FSS product, building reliable foundations for user content management, and collaborating cross-functionally to optimize user experiences.

As a Staff Fullstack Software Engineer, you'll optimize user monetization systems at Dropbox, leading technical strategies for checkout and subscriptions while mentoring engineers.

As an Infrastructure Engineer, you will build scalable systems, optimize performance, mentor juniors, and innovate solutions for data management.

As a Senior Analytics Engineer, you will build and maintain the data foundation for analytics, ensuring data quality and collaborating cross-functionally to support better decision-making across teams.

As a Senior Systems Engineer at PagerDuty, you'll design, implement, and maintain global network infrastructure, ensuring security, performance, and reliability while managing day-to-day operations and incident response.

As a Product Engineer at Dropbox, you will enhance Dropbox Products, mentor junior engineers, and ensure continuous service operations while collaborating with cross-functional teams.

The Senior Data Scientist in Risk & Fraud will analyze data, build models to evaluate customer behavior, and develop metrics to drive business strategy.

This internship involves conducting AI research, developing datasets, assessing model performance, and presenting results. The candidate will work on projects in Graph Representation Learning and Sequential Modeling.

Lead and manage the FinPlat data engineering team, overseeing data warehouses and lakehouses, collaborating on data strategies, and ensuring quality data products for financial operations.

This role oversees the PAM platform management, integrates security into DevOps, and ensures compliance with identity security standards.

The Data Scientist will develop data-driven analytical solutions, build predictive models, collaborate with teams, and communicate insights to stakeholders in cybersecurity and fraud detection.

The System Architect oversees architecture for multiple programs, collaborating with stakeholders to ensure alignment and implementing best practices in Agile environments.

Intern will work on a research project in AI, focusing on deep learning and model development, potentially leading to publication or production deployment.

The Senior Data Scientist will analyze large datasets, collaborate with cross-functional teams, and design experiments to enhance risk and fraud strategies.

The Sr. Backend Engineer will design and implement scalable microservices, troubleshoot production issues, and lead backend projects while mentoring other developers.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

As a GTM Full Stack Engineer, you'll develop applications, enhance automation, and collaborate across teams while guiding junior developers.

Lead the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

Looking for a seasoned Information Systems Engineer to innovate accounting processes with Oracle tools, collaborate on finance teams, and enhance automation.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.

The role involves developing advanced deep learning and reinforcement learning solutions for risk management, conducting experiments, and collaborating with cross-functional teams.

The role involves ensuring data reliability by developing systems for data quality, collaborating with various teams, and establishing best practices for observability and operational excellence.

As a Senior Data Engineer, you will design and manage ETL pipelines, create data models, and ensure data quality for compliance efforts.

The role involves leading a team to develop backend systems, manage projects, ensure system availability, and foster a culture of quality and collaboration. It requires expertise in distributed systems, technical planning, and effective communication.