Top Python Jobs in Toronto

As a Machine Learning Intern, you will assist in developing, training, and deploying machine learning models, collaborating with data scientists.

The Automation & Integration Specialist internship involves identifying automation opportunities, designing solutions, and implementing RPA and workflow technologies to enhance operational efficiency across departments.

The Technical Integrations Consultant will implement the Zip Integration Platform, integrate with clients' IT systems, and lead technical discussions and configurations.

The role involves designing, developing, and improving AI software for logistics, managing project priorities, and contributing to code and design reviews.

As a Staff SRE/DevOps Engineer, lead cloud rearchitecture, automate solutions, mentor teams, and ensure system reliability, security, and compliance.

Contribute expertise in optics and photonics for SNSPD development, operate cryogenic systems, and enhance performance and scalability of SNSPD technology.

As a Quantum Compilation Researcher, you will design quantum algorithms, optimize compilation techniques, lead projects, and translate research into software for quantum computations.

Develop software for Quartus compiler, enhancing FPGA support, optimizing synthesis, facilitating interactions with customers, debugging, and implementing features.

The Senior QA Analyst ensures product quality through end-to-end testing, creating test suites, and collaborating with teams for software quality assurance.

The Senior Java Software Engineer will design, build, and scale web products, collaborate with teams, and document best practices. The role requires at least 5 years of experience in full-stack development.

As a Senior DFT Engineer, you'll develop and maintain DFT methodologies, create automated verification, and lead DFT engineers.

As a Machine Learning Research Intern, you will contribute to visual generative model development, translating research into code and collaborating with peers to enhance machine learning applications in design.

The IT Application Specialist is responsible for the design, configuration, implementation, and maintenance of IT application systems, ensuring security and availability. They troubleshoot application issues, improve existing applications, and communicate with teams to support business needs.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

Join the R&D team to develop software solutions for venture capital firms, focusing on enhancing Limited Partner experiences and managing complex systems.

Seeking a Senior AI/ML Engineer to design and develop AI-native systems using Generative AI and multi-agent frameworks for real-time networking solutions. Responsibilities include modeling agent behaviors, developing LLM-driven agents, building ML models, and collaborating on AI projects.

Develop full stack solutions for GenAI applications, optimizing backend services and creating user-friendly interfaces while mentoring junior developers.

The Senior QA Engineer will own quality assurance for new features, perform manual and automated testing, and collaborate with teams to ensure high product quality in fast-paced environments.

The role involves developing innovative video creation tools using generative models, collaborating with a team, and enhancing user experiences through applied research in computer vision.

This role involves designing, building, and maintaining data integration and analytics infrastructure using Microsoft Azure, focusing on hands-on engineering and solution architecture.

Develop AI solutions to enhance developer productivity, create agentic systems for code review, and mentor junior engineers. Design workflows and evaluate systems using statistical models, ensuring integration with developer tools.

Lead quality assurance and automation strategies, mentor engineering teams, develop automated testing frameworks, and drive continuous improvement in testing methodologies.

The Sr. Data Engineer will develop data infrastructure, maintain data pipelines, enforce data governance, and integrate data to enhance product performance and decision-making.

The Integration Developer will design and implement integrations between enterprise applications and AWS services, maintain performance and security, and contribute to agile development processes.

The Principal DevOps Engineer will design and manage cloud infrastructure, implement CI/CD pipelines, ensure security governance, and lead a team in DevOps practices.