Top Python Jobs in Toronto

The Data Engineer 2 will build data integration pipelines, maintain data quality, and collaborate with stakeholders to meet data deliverables.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

As a Software Architect, you will design scalable backend services, optimize system performance, guide technical standards, and mentor engineers within Zynga's Mobile Game Tech team.

Develop and optimize C++ code for camera systems, implementing AI models and algorithms for real-time video analysis. Collaborate with AI/ML engineers and maintain system performance.

The Senior Staff Engineer will enhance developer productivity and operational excellence at MongoDB, focusing on tools, systems design, and community mentorship.

This role involves collaborating with clients to define use cases, implement data integrations, improve ML architecture, and ensure customer success in using BrazeAI.

The Principal Software Engineer will design, deploy, and maintainAzure cloud solutions, oversee migration strategies, implement automation, and ensure compliance with company goals and security standards.

Manage financial analysis, oversee annual budget and forecasting, provide insights for decision-making, and lead a team of junior analysts.

As a Principal Associate Software Engineer, you will focus on backend development, create applications, support Agile teams and explore new technologies.

Lead the design, development, and maintenance of AI-powered software applications, collaborating with product managers and cross-functional teams, while establishing best practices and mentoring senior engineers.

This role involves driving AI adoption at Coinbase by developing AI automation solutions, collaborating with teams, and managing prototypes to enhance efficiency and ROI.

The Senior Security Engineer will lead threat modeling efforts, detect risks, collaborate with teams, support vulnerability remediation, and enhance compliance processes.

The Data Engineer will design and maintain ETL/ELT pipelines using various tools, support data infrastructure in cloud environments, and collaborate with BI teams for reporting and analytics.

As an ASIC Validation Engineer, you'll bridge custom mining silicon design and operation, debugging issues, developing test infrastructure, and validating functionality with ASIC designers.

In this role, you'll design and develop scalable ML infrastructure, optimize data processing workflows, and mentor team members while collaborating with Data Science and Engineering teams.

The role involves leading financial analysis for technology spend, designing data models, developing visualizations, and ensuring data quality, while collaborating with internal stakeholders across the company.

The Senior Data Engineer will develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

The Principal Consultant will lead the design and deployment of cloud infrastructure solutions on AWS and Azure, utilizing Terraform and automation tools, while collaborating with sales and technical teams to ensure project success.

The role focuses on extracting, cleaning data, building and maintaining machine learning models, and optimizing business strategies using data science methodologies.

Seeking a Senior Full-Stack Engineer with leadership experience, strong web development skills, and effective communication. Responsibilities include managing projects, leading teams, and collaborating with clients to define technical solutions.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

The Senior Security Engineer I will build and maintain core security infrastructure, collaborate with global teams, mentor junior engineers, and drive security initiatives.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.