Top Python Jobs in Toronto

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.

Develop and operate scalable backend systems for an AI-driven defense platform against digital threats, ensuring production reliability and collaborating across teams.

The Co-op Engineer will analyze source code, implement new features on demo apps for Android or HarmonyOS, and deploy AI models on Huawei devices, 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, build, and deploy AI-powered planning solutions on Pigment. Translate business problems into scalable models and custom AI agents, integrate data via APIs and pipelines, prototype agentic workflows, train users, drive adoption, and relay customer feedback to Product and Engineering to scale repeatable deployment patterns.

Lead analytics strategy for C2C M&A integrations, driving product analytics, experimentation, metric standards, AI-enabled prototypes, and cross-functional data solutions to improve seller outcomes and business performance.

The Senior Backend Engineer will architect solutions, deploy features, maintain APIs, design service communication, and collaborate with teams to ensure product quality and scalability.

Senior SDET responsible for automation-first quality engineering for AI-driven CX platform. Build and maintain fast, parallelized regression suites, load/stress tests, CI-integrated tests, API/contract tests, and synthetic traffic generation. Rapidly detect, isolate, and report issues; collaborate with devs to ensure weekly deploy quality for real-time, event-driven services.

Design, build, and operate ML data pipelines and unsupervised models to detect anomalous patterns in healthcare claims. Develop feature engineering, batch processing, and REST API model serving (FastAPI). Integrate with Oracle via SQLAlchemy/oracledb, maintain CI/CD and on-prem deployment workflows, collaborate with business teams to interpret clusters, and support model validation, operationalization, and audit artifacts.

As a Generative AI Consultant, design and implement GenAI solutions, assist in architecture, develop applications, and ensure responsible AI practices while collaborating across teams.

Lead and manage a team to develop and maintain interactive dashboards and visualizations, ensuring quality delivery and data integration.

Lead design and delivery of AI agent solutions that convert documents into structured data for Veeva Quality Cloud. Define data flows, orchestration, model integration, and prompts; collaborate with engineering and UX to automate processes, evaluate AI agents, and present features to stakeholders.

Lead design and delivery of AI Agent solutions for Veeva QualityDocs and Training. Define data flows, orchestration, prompts, and model integration; collaborate with engineering and UX; evaluate AI agents and present capabilities to stakeholders.

Design, implement, and manage Azure cloud solutions with a focus on automation. Develop CI/CD pipelines, ensure security compliance, and mentor IT team members.

Develop and deploy computer vision and perception systems for autonomous aerial platforms. Responsibilities include object detection, tracking, classification, SLAM, 3D world modeling, semantic scene understanding, multi-agent perception, sensor fusion, and GNSS-denied operation. The engineer will take algorithms from simulation through live flight testing and production, optimize them for real-time edge hardware, and collaborate with flight controllers, systems engineers, and operations teams.

Own end-to-end integration of drones, robotics platforms, sensors, payloads, and third-party hardware. Design circuits and PCBs, develop embedded firmware and integration tooling, debug hardware/software/networking issues, and execute HIL, simulation, laboratory, and field validation. Collaborate with OEMs, vendors, and cross-functional engineering teams to deliver reliable, production-ready autonomous systems.

Build and deploy AI-powered features for internet-scale threat intelligence workflows. Develop and fine-tune LLMs, RAG pipelines, vector search, and AI-driven analytics to summarize findings and automate investigations. Create secure, context-aware user experiences while evaluating model performance with RAGAS, LangSmith, and regression testing. Collaborate with product, frontend, data engineering, and other teams to deliver low-latency, reliable AI capabilities.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.

Secure Temporal’s development pipeline, product, and customer execution environments. Partner with engineering teams on secure architecture, threat modeling, risk assessments, code and software supply-chain security, vulnerability triage, Kubernetes hardening, multi-tenant isolation, and responsible AI security. Participate in on-call rotations and help establish actionable security policies and practices across the organization.

Own month-end close, financial reporting, variance analysis, transactional accounting, billing operations, payroll, benefits, commissions, equity, tax compliance, audit readiness, controls, and rolling forecasts. Lead an AI-native ERP migration, configure finance systems, deploy AI agents to automate workflows, and support multi-entity international operations while partnering directly with the CFO.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design, build, ship, and own backend product features used by developers and mobile app users at large scale. Scope projects, write reliable and tested code, monitor production systems, participate in architecture and roadmap decisions, respond to incidents, improve scalability and performance, communicate remotely, and mentor engineers. The role requires end-to-end ownership from problem definition through rollout and long-term maintenance.