Top Python Jobs in Toronto

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 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 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 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.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

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

The role involves researching and applying advanced modeling techniques in advertising technology, experimenting to validate results, and mentoring junior team members.

Lead and mentor a software engineering team, architect automation frameworks, establish CI/CD pipelines, and enhance software development processes for silicon tools and infrastructure.

Acting as part of DFT methodology at Alphawave, the role involves architecting DFT methodologies, automating RTL, and developing verification solutions for SoC designs.

Lead the embedded firmware team in delivering high-performance SerDes PHY solutions, defining architecture, coordinating cross-functional efforts, and resolving complex issues throughout product lifecycle.

As a Full Stack Engineer, you'll build and maintain frontend and backend systems, creating features for Scribd's document reading page, collaborating with teams, and improving infrastructure.

Lead the firmware and software development for high-speed SerDes PHYs, managing a team of engineers and ensuring project success through lifecycle ownership.

Lead design SoC verification for connectivity networking products, collaborating with cross-functional teams and improving verification methodologies.