Top Python Jobs in Toronto

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.

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

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.

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.

As a Senior SI/PI Engineer, you'll design and optimize high-speed interconnects, conducting simulations and validation to ensure signal and power integrity in various systems.

The Full Stack Developer will create scalable applications, manage backend services in Python, design frontend with React, deploy on Azure, and integrate AI workflows.

Develop and secure Azure infrastructure for SaaS applications, optimize CI/CD workflows, and enhance cloud security practices, while conducting compliance assessments and collaborating with teams.

Develop and maintain software applications and pipelines for VFX workflows, optimizing tools and supporting production teams.

The Senior Data Scientist will develop machine learning and AI solutions, mentor junior scientists, and drive data-driven decision making at Johnson & Johnson.

Seeking a Senior Physical Design Engineer to implement digital blocks in advanced tech nodes, focusing on timing closure and power integrity in ASICs, while utilizing scripting to automate processes.

The Cloud Platform Engineer will enhance CI/CD systems on Azure, automate workflows, resolve deployment issues, maintain cloud infrastructure, and uphold security standards.

The Software Engineer will validate and verify flight control systems software, perform testing in alignment with DO-178C standards, and contribute to process improvements.

The Engineering Manager will lead efforts to enhance developer productivity through AI/ML tools, continuous delivery, and collaboration with cross-functional teams, while mentoring talent and fostering innovation.

The Data Science Intern will develop machine learning algorithms, analyze data, and communicate insights to support local retailers. Responsibilities include executing projects and tackling complex marketplace issues.