Top Python Jobs in Toronto

Serve as a trusted technical advisor designing and implementing Coveo AI relevance solutions. Lead architecture, requirements, and delivery across customer ecosystems, collaborate with stakeholders, enforce best practices and governance, and support agile delivery and product feedback.

Lead design and governance of PUMA's integration fabric and API platform across DTC engineering. Own API gateway strategy (Apigee), GraphQL architecture, event-driven patterns, observability, security, and developer enablement. Drive API governance, integration testing standards, AI-native integration patterns, and mentor senior engineers while influencing cross-organization architecture and vendor integrations to ensure resilient, performant commerce integrations.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

Design, build, and productionalize enterprise analytics data assets from scratch. Collaborate with stakeholders to translate domain requirements into reliable, scalable data logic, implement monitoring/alerting, support external reporting, and enable handoff to data engineering for long-term ownership.

As a Senior Developer, you'll design, develop, and maintain software systems, mentor juniors, ensure code quality, and collaborate with teams for scalable solutions.

The Sr. Device Administrator oversees endpoint deployments and security, manages vulnerability assessments, supports complex issues, and collaborates on IT infrastructure projects.

Lead architecture and development of an internal agentic AI research platform and automation systems. Build scalable, reliable pipelines, SDKs, APIs, and developer-facing tools; enforce engineering standards, mentor engineers, and partner with researchers to translate needs into production-ready developer tools and services.

Support research and deployment of next-generation networking solutions for Huawei's global AI and cloud infrastructure. Analyze industry trends to identify technical challenges and align research with business needs. Work on RDMA, network stack optimization, collective communication, congestion control, traffic engineering, topology and resource allocation, and collaborate with academia and industry to deliver infrastructure innovations.

The Senior Researcher will develop Physical AI research, focusing on robotic models and multimodal learning while collaborating on experiments and publications.

Design and develop AI agents using large language models, optimize multi-agent systems, and integrate these agents into real-world tools and systems.

As a Customer Engineer, you'll bridge technical problems and client needs in analytics and ML, designing data solutions and ensuring high-quality feature delivery.

The Customer Engineer will bridge technical challenges and client needs through full-stack development, enhancing customer experiences and delivering innovative solutions.

The Associate Product Manager will work with analytics, ML, and product teams to develop features based on data insights, ensuring effective data management and customer outcomes.

The AI Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

Coordinate technical work in the team, ensure timely project delivery, and manage cloud server environments including AWS, Azure, and Openstack.

Develop and commercialize firmware for neural network processing on ARM-based processors. Design embedded software for real-time processing, manage buffer interrupts, and optimize compilers.

Design and implement scalable ETL/data pipelines using Python and Airflow; collaborate with technical and non-technical stakeholders to define requirements; build internal tools; mentor and lead small engineering pods; ensure reliable integration architecture and database schema/performance optimization; explore and apply AI technologies to enhance the platform.

The Client Solution Architect will lead complex implementations, drive client engagement, mentor teams, and establish standards within wealth management solutions.

The Consultant will conduct financial analyses and modelling, manage client relationships, oversee junior staff, and perform market research. Responsibilities include developing financial tools and ensuring quality control on deliverables.

As a Consultant, you will conduct due diligence, analyze financial statements, develop reports, create financial models, and manage client relationships, ensuring high-quality deliverables to clients.

Lead and grow an STA team responsible for timing closure and signoff of advanced FPGA designs. Define STA methodology and flows, drive timing analysis, debug violations, collaborate with RTL, synthesis, P&R and architecture teams, and deliver timing-driven PPA improvements and on-time closure across multiple programs.

Perform static timing analysis and timing signoff for FPGA/ASIC designs, debug and resolve timing violations, develop and validate timing constraints, collaborate with RTL/synthesis/physical design teams, and improve STA methodology and automation to optimize performance, power, and area.

Design and develop platform capabilities, optimize performance, and improve deployment processes. Collaborate on engineering quality and foster an innovative culture.

Design, build, and govern Float's dashboards, metrics, and self-serve BI. Translate business questions into durable data products, validate dbt models, reduce ad-hoc requests, and use AI to scale analysis and accessibility for Finance, RevOps, GTM, and leadership.

Lead discovery, prototyping, and commercialization of ML/AI and edge computing solutions. Build hands-on prototypes, collaborate with data scientists and engineers, engage customers and partners for co-innovation, influence product roadmaps, participate in standards/open-source, and evangelize thought leadership to advance productization and market adoption of intelligent networking capabilities.