Top Python Jobs in Toronto

The Data Scientist will analyze data, create dashboards using Power BI, model data in SQL, and develop predictive models to support decision-making within the firm.

Provide technical support for MongoDB to customers, resolving problems, assisting fellow engineers, and contributing to content creation and product strategy.

As a Full Stack Software Engineer at Terawatt, you will develop cloud-native applications for EV charging systems, optimize backend services, and drive product innovation through collaboration with teams and stakeholders.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

The Senior Analyst will streamline Finance Operations, implement automation solutions, and drive continuous improvement through analytics and data management.

Lead Observability Engineer responsible for defining and implementing observability strategies, tools, and patterns to ensure reliable performance across various systems at Vivun.

Lead firmware development for UCIe chiplet portfolio, collaborate with teams on validation, optimize design, and mentor engineers.

As a Software Engineering Manager, you will lead technical projects, mentor developers, and engage in hands-on coding, focusing on system reliability and performance.

As an Operations Engineer, ensure stability and efficiency of operational infrastructure by automating processes, monitoring systems, and implementing AI technologies.

The Staff Data Engineer/Developer will lead data architecture improvements, develop data pipelines, and collaborate with teams to create data products.

Responsible for functional and automation testing of Veeva Vault software, creating test documentation, and collaborating in an Agile team.

The Senior Quality Engineer will perform functional and automation testing for Veeva Vault, ensuring product quality through collaboration with teams, documentation creation, and mentoring junior engineers.

The Senior Software Engineer will lead the technical design and development of Veeva OpenData platform, implementing scalable applications and mentoring team members in an Agile environment.

The DevOps Engineer will build robust infrastructure, implement DevOps practices, manage CI/CD workflows, and improve product delivery efficiency.

As a Performance Engineer, you will define performance benchmarks, optimize Veeva's software, monitor production performance, and troubleshoot issues. You'll collaborate with engineers while using performance measurement tools.

As a Senior Site Reliability Engineer, you'll ensure the reliability and scalability of enterprise applications, manage incidents, and mentor team members while using Java and modern open-source technologies.

The Associate Software Engineer In Test will focus on automating tests and test frameworks for Veeva's Cloud applications, conducting QA tests, and improving test documentation.

The DevOps Engineer at Veeva Systems will build scalable infrastructure, implement DevOps practices, and manage CI/CD workflows while ensuring product quality and reliability.

Veeva Systems is hiring recent graduates for their Engineering Development Program, focusing on developing software engineering skills in a challenging environment.

The Algorithms Scientist will design and deploy machine learning models for Lyft Ads, improve ad performance through data analysis and collaborate with various teams for model integration and monitoring.

The Senior Technical Consultant provides consulting and technical architecture design for Veeva Vault R&D applications, leading customer implementations and ensuring success through expertise in integration and cloud solutions.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

Seeking a Senior Lead Research Scientist to conduct research and engineering in autonomous AI, develop benchmarks, publish studies, and implement safe learning loops for agents.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.