Top Python Jobs in Toronto

Lead and grow a Sales & Marketing analytics team to build measurement infrastructure linking acquisition investment to subscription revenue. Own advanced marketing measurement (MMM, MTA, incrementality, experimentation), funnel and sales analytics, dashboards, and decision-support tools. Partner with cross-functional stakeholders and data teams to improve CAC, LTV, payback, and go-to-market ROI while advancing AI-enabled, self-serve analytics and automation to scale trusted, executive-ready insights.

Lead commercial pricing initiatives and develop rate change projects and advanced analytical models. Collaborate with business partners, communicate actuarial insights, mentor team members, and manage medium-to-large projects to ensure portfolio profitability.

Plan and execute a zero-downtime migration of stateful data systems (Druid, Spark, Redpanda, Airflow, PostgreSQL, Elasticsearch) from bare-metal VMs to Kubernetes on OpenStack. Codify infrastructure as code, implement safe StatefulSet/PVC and upgrade patterns, and own day-to-day operational health. Build observability, SLOs, runbooks, KPIs, and optimizations. Partner with SRE on hardware, networking, and Kubernetes fundamentals while owning data applications end-to-end.

Lead technical analysis and design for data solutions, create data models and mapping documents, identify input/output data, mentor junior analysts, and support data warehousing, ETL, and cloud-based implementations.

Design, develop, test, and support data and AI products. Partner with stakeholders to translate requirements, build ETL/ELT pipelines, perform data modeling/profiling, automate frameworks, troubleshoot production issues, and participate in process improvements.

Design and deliver AI Agent features for Veeva Labeling, build prototypes and production ML integrations, define data flows and prompts, collaborate with engineering and UX, evaluate AI agents, and present capabilities to stakeholders.

Manage pricing across product portfolios through data analysis, weekly pricing reviews, and pricing overrides. Identify pricing levers, model impacts on profitability and volume, ensure pricing system accuracy, collaborate with stakeholders, and present actionable recommendations to improve revenue and margins.

Own a pod's roadmap and delivery end-to-end: write problem-first specs, participate in code and debugging, own QA and release sign-off, monitor post-deploy via Sentry and Grafana, close feedback loops between customers, data, and product KPIs, and drive fast, async-first decision making.

Build and maintain automated publishing systems that deploy SEO-optimized content across WordPress, Webflow, Shopify, and custom CMSs using Claude Code. Develop API integration layers, scripting, and QA pipelines to prevent bad content from reaching production. Coordinate with content and fulfillment teams, document systems, run staging tests, and validate AI model changes to ensure automated content performs and publishes reliably.

Own end-to-end product features: design, build, ship, and iterate. Lead Angular front-end architecture and collaborate with backend teams (Go/Node/Python). Use AI-assisted development tools daily, instrument and analyze feature usage, run experiments, and mentor engineers while driving engineering excellence and cross-functional product decisions.

Design, build, and deploy production-grade LLM systems (RAG, agents, APIs). Own end-to-end delivery, define evaluation frameworks, and optimize for cost, latency, and reliability while providing technical leadership and cross-team collaboration.

Design and build distributed backend systems, microservices, and near-real-time data ingestion and processing. Scale an incrementality experimentation platform, add AI-powered workflows, extend data integrations and partner exports, and contribute frontend components as needed to deliver end-to-end product features.

Serve as technical bridge for customer onboarding and integrations: maintain/debug internal admin tools, configure feature flags, ensure PMS/CRM API integrations, update docs, troubleshoot regressions and basic AI hallucinations, and collaborate with engineering to automate onboarding/support workflows.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Chief of Staff/Business Operations Manager will drive strategic initiatives, optimize processes, and collaborate with executives to achieve company objectives.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The Signal Integrity Engineer will simulate high-speed PCB channels, guide digital hardware designers, and help design PCB test boards to validate simulations.

The role involves developing and verifying complex SoCs and ASICs, creating test plans, collaborating with experts, and debugging HW/SW issues.