Top Python Jobs in Toronto

Provide expert technical support for strategic enterprise customers using the OpenAI API. Lead incident response, design monitoring/alerting, run 24x7 operational processes, automate support workflows with scripting, collaborate with engineering on reliability and preparedness, analyze metrics and RCAs, and provide occasional holiday and weekend coverage.

Design, prototype, and verify fiber-optic systems (OTDR, OSA, OPS); troubleshoot product and process issues; support manufacturing transfers; develop new optical technologies and contribute to IP; provide technical sales support and collaborate cross-functionally.

The Software Engineer will lead the development of Baseten Voice AI, focusing on real-time model serving systems, collaboratng with teams on architecture and implementation.

Design, develop, and deploy machine learning and NLP solutions at scale. Work with cross-functional teams to build content classification, representation learning, search, and recommendation models using classical ML, deep learning, and LLMs. Process large datasets with Python, SQL, and Spark, and communicate results to stakeholders with clear documentation.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

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.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

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.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

Develop data-analysis pipelines bridging ultrasound, synthetic biology, imaging and sequencing. Collaborate with wet-lab and ML teams to define objectives, encode priors, run ML pipelines for de-novo design and closed-loop active learning, and produce actionable insights to accelerate molecule discovery and device optimization.

Lead architecture, design, validation, and productization of mixed-signal electronics and instrumentation for high-bandwidth brain interfaces. Own PCB/system architecture, SI/PI, EMC/EMI, power, clocks/triggers, automated test and manufacturing transfer. Build reusable scientist-facing measurement hardware, define quantitative performance criteria, collaborate cross-functionally, manage vendors/CMs, and mentor engineers to establish EE best practices.

Design, develop, and maintain complex software applications while leading technical architecture and collaborating with teams. Write maintainable code and participate in code reviews.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Intern will be part of a team developing AI algorithms for Autonomous Vehicles, contributing to research projects and publications.

Lead the design and development of AI services, managing technical teams to create enterprise-wide Generative AI platforms and solutions.

The Chief Scientist will develop advanced Physical AI approaches, oversee experiments, integrate data and models, and lead impactful research in AI.

Lead strategy and execution for Direct-to-Consumer lending products, owning borrower lifecycle and P&L. Use quantitative analysis and testing to find product, conversion, and growth opportunities. Drive cross-sell, retention, and program performance with Product, Credit, Finance, Marketing and PMO, and present strategic recommendations to executives.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a Software Architect at Air Apps, you'll define system architecture for an AI platform, guiding engineering teams in best practices and ensuring high performance and security.

As a Software Architect at Air Apps, you'll define system architecture, guide technical teams, and evaluate new technologies for software solutions.

As a QA Engineer, you will ensure app quality and performance, develop automated tests, and identify bugs while collaborating with cross-functional teams.

Responsible for designing and operating data architecture, building ETL/ELT pipelines, implementing data quality frameworks, and collaborating on ML initiatives.