Top Python Jobs in Toronto

Develop and enhance the API gateway for an AI inference platform, focusing on feature implementation, bug fixes, infrastructure management, and reliability improvements.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As an Applied Research Engineer, you will develop AI systems, design measurement techniques, and enhance human data for machine learning applications.

The Associate, Strategic Finance at Hippo will support financial planning, reporting, and analysis across the company, collaborating with teams to drive process improvements and financial modeling.

As a Senior Full Stack Engineer at Lazer, you will design and build AI-powered applications, manage client interactions, and develop production-ready software solutions.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

Develop AI-powered solutions using Azure services, design retrieval-based architectures, and collaborate on advanced AI systems while mentoring other developers.

The Backend Software Engineer will design and maintain server-side components, APIs, and databases while collaborating with stakeholders to deliver reliable software.

As a Senior iOS Engineer, you will design, develop, and maintain the Poe iOS app, collaborating on AI-driven features and scalable architecture.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

Lead the AI/ML initiatives at Legion, develop forecasting models, manage a team of ML specialists, and engage with clients on tech adoption.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

As a Senior Product Analyst, you'll enhance AI data interactions for enterprise customers, optimize data integrations, conduct workshops, and mentor junior engineers.

The Senior Analytics Engineer will manage financial data infrastructure, develop data pipelines, models, and reporting systems, ensuring data quality and alignment with financial principles.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

Design, implement, and maintain backend services for web applications, focusing on database management, API integration, and security best practices.

Lead the development and enhancement of systems for managing trading risks. Partner with management to integrate functions and improve systems. Provide expertise in application design and analysis while ensuring compliance with regulations.

The SOC Engineer monitors and supports a global platform, ensuring operational efficiency through automation, incident management, and technical communication within a diverse team.

As a Senior Software Engineer on the Semantic Data Modeling Team, you'll design scalable data models, implement transformation logic, and ensure data consistency across domains for WEX's enterprise data platform.

As a Software Developer Intern, you will assist in developing software components, participate in code reviews, and support testing efforts.

The backend developer will design and implement scalable cloud applications, contribute to code reviews, improve service performance, and ensure data privacy. Experience in Node.js and cloud services is required.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.