Top Python Jobs in Toronto

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

The Systems Engineer will create and verify behavior requirements for self-driving technology, ensuring safety and efficiency through documentation, collaboration, and enhancement of evaluation capabilities.

Contribute to the development of Waabi World, improve simulation scalability, and design orchestration software for autonomous vehicle simulations.

Lead the development and verification of behavioral requirements for autonomous vehicle systems, collaborating across teams to enhance safety and evaluation capabilities.

Coordinate technical work in the team, ensure timely project delivery, and manage cloud server environments including AWS, Azure, and Openstack.

Develop and commercialize firmware for neural network processing on ARM-based processors. Design embedded software for real-time processing, manage buffer interrupts, and optimize compilers.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

The Senior Implementation Consultant configures and implements SaaS solutions, leads customer engagements, manages projects, and drives efficiencies in delivery.

Lead innovative application solutions for Brookfield Wealth and Credit businesses. Manage application performance, integration, and data processes, ensuring operational excellence.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

As a Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines, collaborating with analysts and scientists to ensure reliable data solutions.

Design and implement scalable systems, automate infrastructure using IaC, collaborate across teams, and mentor engineers. Focus on reliability and efficiency.

The Senior Infrastructure Engineer at EvenUp will architect, implement, and maintain infrastructure solutions for a legal tech platform, ensuring scalability, reliability, and collaboration across teams.

Lead the design and architecture of scalable data systems, ensuring optimal performance while mentoring fellow engineers and setting engineering standards.

The Consultant will conduct financial analyses and modelling, manage client relationships, oversee junior staff, and perform market research. Responsibilities include developing financial tools and ensuring quality control on deliverables.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

As a Consultant, you will conduct due diligence, analyze financial statements, develop reports, create financial models, and manage client relationships, ensuring high-quality deliverables to clients.

As an Analyst, you will build financial models, conduct market research, develop dashboards, and manage client relationships to support financial insights and business decisions.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The Senior Application Engineer will architect and develop AI agents using Salesforce Agentforce, build automations, and integrate external data sources, while collaborating on projects and mentoring others.

The Senior Staff Developer will lead technical strategy, ensure secure solution design, mentor developers, and collaborate on technical specifications, specializing in full stack development and architecture with cloud platforms.

The Senior AI Engineer will develop and scale Generative AI systems, manage AI applications' lifecycle, and integrate LLMs with data streams while providing leadership and mentoring to junior engineers.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.