Top Python Jobs in Toronto

Lead integration of AI-driven tools into tax provision, planning, and multi-jurisdictional compliance. Design ML/analytics solutions for sales and payroll tax, enhance regulatory filings, support audits, and collaborate with finance, legal, and technology teams. Monitor tax regulation changes, document AI tax models for transparency and governance, and continuously refine models for scalability, reliability, and compliance.

Design and implement AI/NLP solutions to automate insurance policy administration (issuance, endorsements, renewals). Translate policy language into models and rule engines, integrate with PAS, ensure regulatory compliance, monitor model performance, and support underwriting, operations, and exception handling.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Lead modernization of month-end and year-end close processes using AI and automation. Prepare, review, and validate journal entries, accruals, and financial statements. Implement anomaly detection, automated reconciliations, variance analysis, and predictive insights. Collaborate with data teams to structure finance data for ML use cases and design audit-ready, scalable reporting workflows.

Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

Lead and scale engineering teams, set technical vision and oversee architecture across frontend, backend, and infrastructure. Collaborate with product, research, and design; participate in code and design reviews, hire and develop engineers, and ensure scalable, reliable systems.

Design, build, and maintain scalable Salesforce solutions for aircraft leasing lifecycle. Implement Apex, LWC, Flows, integrations (REST APIs, Platform Events), reporting, and AI-assisted features. Support testing, CI/CD, refactoring, and collaboration with Product, DevOps, and Security teams to improve reliability and reduce technical debt.

Own the lifecycle of insurance document templates—design, implement, test, roll out, and maintain. Translate product requirements into reusable schema-driven templates, debug and optimize templates, validate outputs, triage incidents, and improve templating tools and processes. Collaborate with engineers, product, underwriting, and ops, document best practices, and mentor peers while supporting launches, migrations, and experiments.

Design, build, and ship backend services and frontend tools for fleet scheduling, dispatch, monitoring, maintenance, and operator workflows. Implement core features, build and consume APIs, work with databases and event-driven integrations, develop role-based operator tools, debug and improve production reliability, and collaborate with product and operations teams.

Design and build core operation platforms (scheduler, dispatcher, vehicle console, TMS) for autonomous trucking. Create durable object models, state machines, event-driven services, real-time operator tooling, APIs, and integrations. Ensure safety-critical workflows are observable and resilient while partnering with autonomy, operations, and product teams and driving engineering excellence.

Lead pre-sales efforts for Media & Entertainment customers: present Snowflake to executives and technical audiences, deliver demos and POCs, design solutions, collaborate with product and engineering, and close large deals while maintaining deep industry and competitive knowledge.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

As a Senior Forward Deployed Engineer, you'll deliver voice AI solutions to enterprise clients, bridging technical and non-technical teams while driving project delivery and adoption.

The Lead Engineer is responsible for developing RL algorithms, designing training pipelines, and creating synthetic scenarios for robotic navigation and performance optimization.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As an Applied Research Engineer, you will develop AI systems, design measurement techniques, and enhance human data for machine learning applications.

As a Senior Software Developer, collaborate with teams to build scalable systems that improve healthcare outcomes, maintaining quality and fast iteration in development practices.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

The role involves testing embedded systems software and desktop applications, defining testing strategies, developing protocols, and ensuring quality adherence in regulated environments.

Lead the design infrastructure for space-based communications, manage EDA tools, support hardware design processes, and improve automation.

The role involves optimizing neural reconstruction workflows using CUDA and PyTorch, analyzing GPU performance, and collaborating to ensure quality and performance improvements in 3D reconstruction systems.