Top Python Jobs in Toronto

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Lead ML research in security: design and run experiments, curate and label data, develop features and models, publish findings, integrate models into production, and support model lifecycle and internal tooling.

Partner with Product leadership to build and maintain Snowflake-based analytics models, run behavioral and funnel analyses, design experiments, and develop predictive models to inform product decisions and roadmap execution.

Build and operate Kubernetes-based platform automation for provisioning CSP resources, networking, scheduling, and autoscaling. Maintain Crossplane compositions and Terraform modules, collaborate with application teams, participate in on-call rotations, and improve platform performance, reliability, and efficiency at scale.

As a Senior Privacy Engineer at DuckDuckGo, you'll lead complex privacy projects, collaborate with teams, and ensure alignment with privacy principles while mentoring other engineers.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Design, implement, and maintain secure internal IT systems; own identity and access management; manage endpoint security and MDM; automate IT workflows; support onboarding/offboarding; aid security operations and compliance; evaluate tools and document processes.

Work on backend features and infrastructure for fleet management, collaborate with senior engineers on design, participate in code reviews, deploy and monitor services, and grow ownership of backend architecture while supporting cross-functional teams.

Build full-stack features for the web app and backend using TypeScript (React), Go, and Python. Collaborate with design, CX, sales, and customers to define and ship features, own features end-to-end, drive technical direction, and address runtime issues as fleets use the product.

Design, build, deploy, and maintain scalable backend services and infrastructure for a fleet management platform. Collaborate with cross-functional teams and customers, own monitoring and high-availability operations, identify bottlenecks, and drive technical direction balancing speed and maintainability.

Design, build, and maintain Python-based full-stack applications and APIs. Implement dynamic React front-ends, containerize services with Docker, deploy and manage solutions on Azure using Azure DevOps, and work with MongoDB or relational databases. Collaborate via Git, operate in a *nix environment, and contribute to architecture, code quality, and performance improvements.

The Senior Python Developer will design, develop, and maintain applications for investment research and manage Portfolios, requiring expertise in backend applications and databases.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

The Senior Accountant will manage fixed assets, oversee financial reporting, assure compliance with US GAAP, lead CAPEX forecasting, and improve accounting processes.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.