Top Python Jobs in Toronto

As a Satellite Systems Designer, you'll define system architectures, manage requirements, drive subsystem integration, and mentor junior engineers across space missions.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The role involves building AI inference systems, optimizing GPU performance, and developing benchmarking methodologies for large-scale deployments.

As a Data Scientist, you'll design and improve credit risk models, analyze complex data, and provide actionable insights for risk management and decision-making.

The Software Developer for Generative AI will design and deploy applications using Large Language Models, collaborate with teams, optimize LLM applications, and manage the full product lifecycle.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

As a Consultant in Business Systems Analysis, you will lead projects to design solutions, document requirements, provide mentorship, and ensure client-centric solutions in a collaborative environment.

The Technical Support Engineer resolves client issues primarily via email and phone, ensures customer satisfaction, and develops training documentation. On-call support during nights and weekends is required.

The role involves leading backend system development, collaborating with teams, identifying issues, and fostering team culture while delivering high-quality projects.

The Data Scientist will develop machine learning models, analyze large datasets, support workflows, and communicate insights to stakeholders.

As a Data Engineer, you will focus on deploying and managing ML models, developing ETL pipelines, ensuring data quality, and automating processes in collaboration with data scientists.

The Data Scientist will support retail analytics, build statistical models, and collaborate on insights to optimize marketing programs and customer engagement.

The Data Scientist will develop analytical frameworks, perform statistical modeling and insights generation to optimize customer engagement and loyalty programs.

Lead a team in building B2B SaaS solutions, mentor developers, manage projects, and ensure technical excellence in software development.

Lead Applied Scientists at Thomson Reuters Labs focus on innovating AI solutions using Generative AI, NLP, and information retrieval to enhance products, ensuring alignment with business objectives while mentoring and collaborating across functions.

The role involves developing infrastructure for benchmarking AI inference performance, analyzing system behavior, designing telemetry systems, and collaborating with teams to improve feature performance.

The ETL Developer will design, develop, and deploy advanced ETL solutions, focusing on automation, scalability, and collaboration to enhance business value.

As a Data Scientist, you'll develop machine learning models, analyze data, build prototypes, and work on integrating models into production. Collaboration with engineering teams and effective communication of insights to stakeholders are key responsibilities.

As a Data Engineer, you will manage ML models in production, develop ETL pipelines, collaborate with data scientists, and ensure robust data stability.

The Senior Azure Cloud Engineer will design, implement, and secure cloud services in Azure, develop automation patterns and CI/CD pipelines, and ensure compliance with security standards. The role involves collaboration with various stakeholders to facilitate cloud technology adoption and innovation.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

As a Machine Learning Engineer, you will optimize deep learning models, develop LLM training pipelines, implement model compression, and collaborate with research to enhance AI capabilities.

As a Data Scientist II, you will develop and deploy analytical models, perform data wrangling, and use machine learning to solve business problems.

As a Senior Full Stack Engineer at eBay's Goldin, you'll design and implement scalable, cloud-native software on AWS, contribute to API design, and enhance consumer-facing experiences.