Top Python Jobs in Toronto

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.

The Senior Infrastructure Platform & Innovation Engineer will design and enhance hybrid cloud and on-premise infrastructure, focusing on Microsoft Azure and automation processes, while ensuring security and operational excellence.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.

The Technical Product Manager will shape and execute the product strategy for a next-gen AI platform, collaborating cross-functionally to define and build impactful AI solutions.t

Design and develop photonics architecture solutions for high-volume products, collaborate with engineering teams, and validate models through experiments.

Lead AI engineering to design and implement advanced AI solutions, mentor a team, and ensure scalable deployment of AI models and applications.

The Network Engineer will implement and maintain network infrastructure, focusing on Cisco ACI and cloud networking, while utilizing automation tools and scripting for optimization. Responsibilities include troubleshooting, ensuring security, and participating in on-call support.

The Software Engineer will refine the existing React app and build new features, acting as the frontend expert to debug issues. They will collaborate with a high-performing team in an in-person environment and focus on delivering a polished customer experience.

The Software Engineer will own and enhance cloud infrastructure, improve security and reliability, manage CI/CD pipelines, and support feature development as needed.

As a Data Scientist II, you will lead data science projects focusing on AI/ML solutions, collaborating with teams to drive insights and influence product strategy.

The Engineering Manager will lead and scale the data engineering teams, oversee the data platform, and ensure architectural integrity while fostering team growth and collaboration.

Design, build, and maintain automation systems, integrating data and AI to optimize business processes across Operations, Sales, and Marketing.

The Staff Product Data Analyst will drive analytics for game titles by developing dashboards, predictive models, and automating workflows, impacting player engagement and monetization strategies.

The Cloud Engineer will design and deploy cloud-based media workflows, optimize rendering environments, and integrate customer production pipelines, requiring strong technical and customer-facing skills.

The Senior Software Developer will own product functionality, develop backend services and user interfaces, collaborate with teams, and ensure high-quality software delivery.

The Senior Software Developer will build innovative web applications using Ruby on Rails, mentor fellow developers, and collaborate across distributed teams to enhance the legal profession's digital experience.

The AI Integration Engineer will design, deploy, and scale AI solutions, ensuring integration with business platforms while collaborating cross-functionally and maintaining technical documentation.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

Design and implement generative AI solutions for content creation, ensuring integration with CMS and marketing tools while managing data pipelines.

The Sr. AI Engineer will deploy and manage machine learning models, integrate AI with BI systems, and transform data into actionable business insights, impacting strategic decisions.

The Genesys Cloud CX Integration Engineer designs and maintains integrations between Genesys Cloud CX and CRMs, optimizing data exchange and performance. Responsibilities include implementing integration flows, configuring middleware, conducting testing, and ensuring security and reliability.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.