Top Python Jobs in Toronto

Lead the underwriting and credit risk validation sector within Model Risk Management. Manage and mentor a quantitative team, perform hands-on validations of complex ML models, assess data integrity and model performance, identify and remediate weaknesses, and partner with stakeholders to enhance the enterprise MRM framework and meet audit and regulatory requirements.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Own and govern 1Password's Atlassian platform (Jira, Statuspage). Design architecture, workflows, automations, integrations and app governance. Partner with engineering, IT, security and business teams to onboard, document, train, and ensure compliance, data quality, and platform stability at scale.

Lead architecture and implementation of Oracle Fusion financial systems, build integrations (SQL/PLSQL, REST/SOAP), embed AI-assisted development, automate financial workflows, and translate accounting requirements into scalable technical designs and documentation.

The role involves leading financial analysis for technology spend, designing data models, developing visualizations, and ensuring data quality, while collaborating with internal stakeholders across the company.

Build and enhance AI and data solutions for insurance by collaborating with data architects, scientists, and engineers. Use AI-first tools and agents, design prompts, prototype generative AI, review AI-generated code for security and quality, track production trends, document patterns, participate in code reviews, and assist senior staff to scale AI capabilities across the platform.

Manage financial analysis, oversee annual budget and forecasting, provide insights for decision-making, and lead a team of junior analysts.

Lead full-stack design and development for Capital One's travel portal across front-end and back-end. Own architecture, apply HLD methodology, establish engineering best practices, mentor junior engineers, and improve developer experience while working through the SDLC on fault-tolerant, multi-platform systems.

Design and maintain Azure DevOps CI/CD pipelines and automate deployments for enterprise data platforms. Implement IaC (Bicep/ARM), scripting (PowerShell/Python), secrets and identity management (Azure Key Vault/Microsoft Entra), and monitoring to improve reliability, security, and delivery speed while collaborating with cross-functional teams.

Design and maintain Azure DevOps CI/CD pipelines and automate deployment of Microsoft Fabric, Azure Data Factory, Synapse, Databricks, and Power BI. Implement IaC (Bicep/ARM), manage Azure environments, security, secrets, monitoring and logging, and collaborate with cross-functional teams to improve automation and platform delivery.

Design, implement, and maintain partner integrations and solutions; translate partner requirements into scalable technical implementations; troubleshoot and resolve issues; drive onboarding and steady-state maintenance; collaborate across product, engineering, and partner teams to improve tools and partner experiences.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

Serve as a quota-carrying technical trusted advisor owning discovery, architecture, demos, PoCs, onboarding, adoption, and expansion. Lead technical discovery with AEs, deliver implementations, monitor customer health, drive revenue growth, and leverage AI tools to automate workflows and accelerate customer outcomes.

Help improve reliability and stability of Webflow's production infrastructure: maintain monitoring and observability tooling, optimize Kubernetes workloads for scalability and fault tolerance, occasionally debug/fix Node/Python/Go application code, collaborate with Support/Partnerships/Sales, and participate in on-call and incident response processes.

Design, build, and operate production AI systems and marketing data infrastructure. Develop retrieval pipelines, agent orchestration, CDP integrations, ETL/ELT pipelines, and analytics. Automate workflows with AI, ensure data quality and reliability, partner with stakeholders, ship Python and SQL code, mentor engineers, and drive requirements to production.

Design and develop ML platforms, frameworks, and services; collaborate with data scientists on algorithms and simulations; build model hosting and integration services; create data pipelines and monitoring tools for large datasets and ML applications.

Design, build, and operate CIAM backend services for registration, authentication, authorization, and account lifecycle. Implement OAuth/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC and CI/CD, and ensure secure, reliable, high-scale identity operations.

Lead a team to design, deploy, and maintain Industrial IoT and cloud-connected smart factory solutions. Build AWS-based, AI-enabled workflows, manage IaC (Terraform), CI/CD, monitoring, and collaborate with cross-functional teams to improve manufacturing performance.

Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

Support implementation, testing, and backtesting of a third-party decision engine. Validate data flows, execute QA/A-B tests, document requirements and processes, and collaborate with Pricing, Risk, and Engineering to optimize decisioning and offer drafting workflows.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

Design, build, and deploy production LLM-based agents from prototype to production. Lead prompt engineering, fine-tuning (LoRA/QLoRA), performance optimization, and scalable, secure deployments. Collaborate cross-functionally to integrate agents into enterprise workflows and ensure AI safety and responsible development.

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.