Top Python Jobs in Toronto

As a Senior Formal Verification Engineer, you will verify ASICs using formal methods, collaborate multi-functionally, lead methodology enhancements, and mentor junior engineers while ensuring compliance and correctness.

The DevOps Architect focuses on enhancing platform reliability through CI/CD automation, Kubernetes management, and collaboration with SREs for efficient deployments and operational excellence.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

Lead analytics initiatives at Duomo, managing a team, utilizing data visualization tools, and collaborating closely with the CEO to drive growth.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

The Sr. Backend Engineer will design, build, and maintain core backend systems using Python and Django, focusing on APIs, database management, and improving system reliability.

Develop and maintain 3D workflows in Houdini and Maya, focusing on automation, scene assembly, and toolkit development for VFX production.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

The Senior Marketing Analyst will measure marketing performance, provide analytical reporting, collaborate with teams, and create data pipelines to support marketing strategies at Strava.

Drive business transformation and solution architecture at the intersection of data intelligence, AI, and governance, partnering with clients and leading deployments.

Design, develop, and optimize data infrastructure, focusing on GCP, ETL/ELT workflows, and data governance, while collaborating with cross-functional teams.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

You will verify ASIC design implementation, develop verification infrastructure, optimize verification flows, and collaborate with teams on advanced methodologies.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

Lead end-to-end Saviynt EIC implementations, configure core modules, develop connectors and integrations, and mentor junior engineers while ensuring compliance with governance requirements.

The Signal Integrity Engineer will simulate high-speed PCB channels, guide digital hardware designers, and help design PCB test boards to validate simulations.