Top Python Jobs in Toronto

As a Data Engineer at Influur, you will build and optimize data infrastructure, design ETL and ELT pipelines, and ensure data quality while collaborating with cross-functional teams.

Manage a team of systems engineers focusing on automation projects, partner with stakeholders for automation opportunities, and oversee complex automation workflows and integrations.

The Senior Full Stack Engineer will lead fullstack application development, mentor junior developers, and ensure high-quality projects through collaboration with cross-functional teams.

The GTM Engineer will design and maintain GTM workflows using Clay and other tools to improve sales and marketing functions, focusing on data integrity and operational efficiency.

The Principal Software Development Engineer will lead development and maintenance of UI components in QML, troubleshoot issues, advise on Qt upgrades, and engage with customer support, ensuring high-quality code practices within an Agile environment.

As a Jira Administrator/Developer, manage Jira/Confluence administration, enhance performance, create automation rules, support team processes, and ensure compliance with standards.

The intern will contribute to ML model design, coding, testing, collaborating with teams, and analyzing data to support decision-making.

Develop and launch machine learning algorithms for Lyft's core services; collaborate with teams to apply ML for business impact and evaluate systems against goals.

The Senior Offensive Security Engineer leads Red Team operations, performs penetration testing, and collaborates across teams to improve security measures. Responsibilities include threat modeling, exploiting vulnerabilities, and mentoring team members while communicating effectively with various stakeholders.

The Senior Data Scientist will optimize algorithms, apply data science techniques for supply chain and replenishment, and collaborate across teams to drive solutions.

As an Infrastructure Engineer, you will develop and manage infrastructure for compute, storage, and networking, while collaborating with teams to support cutting-edge photonic computing technology.

The role involves bridging pre-silicon and post-silicon verification by debugging silicon issues and working with emulation platforms to accelerate AI SoC development.

The Senior Software Developer in Test will design, implement, and maintain automated test frameworks, collaborate across teams, and mentor junior staff focusing on quality assurance.

The Software Applications Engineer develops networking solutions, focusing on full stack development, microservices, and cloud technologies, while ensuring effective communication and collaboration.

As a Software Engineer, you will build internal tools, enhance user-facing products, collaborate with other engineers, and adopt new technologies.

The Senior Machine Learning Engineer will design advanced ML solutions, work on LLMs, and collaborate with cross-functional teams to drive innovation in healthcare and life sciences.

Lead the AI Agents team, developing intelligent multimodal AI agents, optimizing performance, ensuring software quality, and integrating AI solutions to enhance customer experiences.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

As an Infrastructure Engineer at Tempo, you'll build and manage infrastructure to enhance engineering efficiency and tackle challenges in the devops process.

The AI Engineer Intern at Quora will develop LLM applications and participate in applied AI activities, collaborating with a varied team.

The AI Lead will prioritize and drive AI integration projects, collaborate with teams, mentor members, and oversee the AI strategy at Super.com.

As a Software Engineer at PlanetScale, you'll design and build scalable database systems, optimize performance, and collaborate on complex engineering challenges.

As an Enterprise Sales Engineer, you will advise prospective customers, showcasing the value of Sardine’s platform through customized demos, completing RFPs, and collaborating with internal teams to improve product offerings.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will design and implement AI solutions, lead technical initiatives, collaborate with teams, and enhance customer adoption of AI/ML tools.