Top Python Jobs in Toronto

Design and build backend services (Go/Java/Python) to run AI/model inference on streaming data. Own end-to-end features across model lifecycle, inference routing, control plane and serving layers. Ensure production reliability, test coverage, documentation, and participate in on-call. Lead cross-team technical decisions and mentor engineers.

Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.

Lead QA for an Agentic AI platform: define and execute testing strategy, implement automation, validate LLM outputs and conversational workflows, oversee functional/integration/regression/performance testing, integrate CI/CD, mentor QA engineers, and promote quality best practices across teams.

Own end-to-end month‑end close (5-day target), maintain GL and reconciliations, run AP and vendor relationships, automate accounting workflows using AI/LLMs and Python, ensure audit-ready results, support audits and FP&A, and build integrations against NetSuite and financial systems to compress the close.

Design, develop, and deploy machine learning platforms and services. Collaborate with data scientists, build model-hosting services, create data pipelines, run simulations, and monitor ML application performance.

Design, implement, test, and maintain Triton compiler front-end and back-end components for Intel GPUs. Develop code generation and optimization passes for AI kernels, collaborate with hardware teams and compiler partners, participate in language/standards groups, and support community adoption and releases.

As a Software Architect at Air Apps, you will define the architecture for AI-powered solutions, lead engineering teams, design scalable systems, and ensure security and efficiency in system integration.

As a Site Reliability Engineer at Air Apps, you'll ensure systems' reliability and scalability, develop automation, monitoring, and performance strategies, and collaborate closely with teams on system design improvements.

The role involves designing and maintaining automated test frameworks for web and mobile applications, integrating tests in CI/CD pipelines, and collaborating with teams to ensure software quality and reliability.

The QA Engineer will ensure the quality and performance of mobile applications by conducting testing, automating tests, and working closely with development teams to detect bugs and improve user experience.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

As a Systems Administrator, you will manage IT infrastructure, user access, SaaS tools, network security, and provide technical support to employees.

As a Systems Administrator, manage corporate IT infrastructure, user access, cloud tools, and network security, while providing technical support and optimizing operations.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

The Software Architect will define and oversee the system architecture for AI-driven solutions, ensuring scalability and security while collaborating with engineering teams and stakeholders.

As a Release Engineer, you will manage release pipelines, versioning strategies, and coordinate with cross-functional teams to ensure efficient software deployment.

As a Senior Data Scientist, you will define Gorgias' data science strategy, work on modeling and forecasting, and implement scalable solutions for business insights across various functions.

Lead the architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

As a Database Developer, you will design, implement, and maintain databases, perform data analysis, and support ETL processes using a variety of technologies.

The Software Engineer will drive technical innovation in software companies, modernizing systems and building AI-powered products while collaborating across teams.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

Design and develop software tools, implement AI-assisted development tools, maintain automation pipelines, and document processes for Huawei Canada’s Quality & Operation Department.

Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

The Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.