Top Python Jobs in Toronto

The role involves researching and implementing physics-informed AI/ML algorithms, designing workflows, mentoring, and collaborating with researchers to advance simulation and design tools for Autodesk.

The Python Lead Developer will oversee projects, requiring expertise in Python and related technologies, with a focus on database migrations and generative AI skills.

As an Agile Test Engineer, you will design and execute testing strategies, leverage AI in testing processes, and collaborate with teams to ensure software quality across various applications.

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The Applied Data Scientist role involves analyzing complex data, turning problems into analytical plans, and deploying scalable data applications while collaborating with teams.

The role involves building high-performance AI hardware through design verification, using advanced methodologies and collaborating with diverse teams.

The role involves verifying DFT/DFD logic for SoCs using advanced verification plans, tools, and methodologies, ensuring manufacturability and debug capabilities.

As an AI Software Engineer, design and develop AI-driven features for domain services using Python and Golang. Collaborate with stakeholders and utilize open-source models.

Lead the architecture and implementation of payments and billing systems to manage financial transactions, enhance compliance, and mentor engineers.

The Principal Software Engineer will develop features for MySQL internally, lead projects, resolve bugs, and integrate AI/ML into databases. Mentorship and community representation are key features of this role.

Join the eBay Search product team as a Data Scientist focused on A/B testing and insights, enhancing search features and driving growth through data analysis.

Architect and build Go-based control plane services, design authorization logic, provide technical leadership, and improve service reliability and observability.

The role focuses on building automation test strategies and scripts, maintaining test coverage, integrating tests into deployment pipelines, and mentoring team members while working in a collaborative Agile environment.

The Data Architect designs, builds, and maintains data infrastructure, implements data pipelines, ensures data integrity, and collaborates with stakeholders on data requirements.

Design and implement scalable solutions for enterprise clients, focusing on workflows and APIs while engaging with clients and improving delivery.

The Data Analyst role involves analyzing data, monitoring strategies, presenting insights, and collaborating on credit risk evaluation for decision-making.

As a Senior Technical Program Manager, you will lead complex engineering projects, collaborate with cross-functional teams, and improve organizational execution through strong program management skills and technical judgment.

Develop and maintain resilient financial services APIs, manage scalability, and collaborate with teams for high-quality software solutions while mentoring peers.

Design, configure, implement, and maintain Geotab's IVR and IT applications, focusing on security, operational efficiency, and client satisfaction while leading projects and mentoring peers.

The Staff Verification Engineer will validate high-reliability products, creating and executing test plans, collaborating with teams, and troubleshooting failures to ensure product compliance and readiness for mass production.

The Software QA Analyst will design and execute test plans, collaborate with teams, and ensure software quality for security products.

The Senior Analyst develops and implements models and analytics for financial risk management, leveraging statistical and machine learning techniques to provide actionable insights and improve decision-making processes.

Design and deploy AI applications focusing on LLM services, build scalable APIs, collaborate with teams, and ensure compliance and optimization.

Lead the development of AI and data science products, manage cross-functional teams, and communicate technical strategies to non-technical stakeholders.