Top Python Jobs in Toronto

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

Lead design and delivery of an AI-ready, AWS-native enterprise data platform and lakehouse. Define architecture patterns, modeling standards, ingestion/CDC, observability, governance, and secure interoperability. Mentor teams, contribute hands-on to platform modernization, enable vector/RAG AI workflows, and provide reference implementations to drive consistent, scalable data products and analytics.

The role involves leading risk management initiatives on climate perils, analyzing data, developing models, and presenting findings to stakeholders.

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Build end-to-end features for an agentic AI media manager: design APIs, backend services, agent logic, data models, and customer-facing interfaces; use AI coding tools, test and operate production systems, work directly with customers, and iterate on agent reliability, guardrails, and human approval flows.

Build and maintain cloud-native services, APIs, and platform capabilities. Design, implement, test, and troubleshoot scalable SaaS/backend systems. Collaborate with product, UX, and engineering teams, participate in code reviews, agile delivery, and continuous learning.

Build and deliver education-focused product experiences across backend services, integrations, automation, experimentation, and light frontend. Implement APIs, containerized deployments, CI/CD, and integrate ML/AI solutions; write well-tested production code, maintain observability, and collaborate with cross-functional teams to take features from prototype to production.

Design and build scalable ETL data pipelines and RESTful APIs/microservices. Improve performance, monitor and troubleshoot data flows, ensure data security/compliance, write tests, and collaborate cross-functionally.

Lead and evolve a cloud-native platform by improving CI/CD, IaC, reliability, security, and automation. Architect scalable hosting, drive DevOps best practices, manage AWS-based infrastructure, participate in on-call and incident response, and mentor cross-functional teams to increase platform resilience and delivery velocity.

Senior AI leader driving end-to-end delivery of AI solutions across Corporate Functions, focusing on fraud detection and financial crime prevention. Leads cross-functional teams, defines roadmaps, provides hands-on technical architecture and prototyping, ensures governance/security/compliance, promotes enterprise reuse, and drives stakeholder adoption and measurable business outcomes.

Lead 2nd-line third-party risk management reporting, metrics, monitoring and oversight. Analyze risk data, build PowerBI dashboards, support committees, regulatory reporting, and advise stakeholders on risk issues and remediation.

Lead development of scenario-based analytical tools and models to support enterprise surgical planning. Integrate clinical, operational and financial data, assess downstream impacts, engage stakeholders, and produce executive-ready recommendations and reports to inform resource allocation, capacity planning, staffing and waitlist management.

Lead development of MRI-based machine learning models and end-to-end pipelines for probabilistic differential diagnosis in Parkinson's disease. Build clinician-facing decision-support tools, analyze large multimodal neuroimaging datasets, validate and calibrate predictive models, generate clinically interpretable outputs, publish and present findings, and mentor trainees while collaborating with multidisciplinary clinical and imaging teams.

Design, build, and maintain a robust data ecosystem and ETL pipelines to support digital campaigns, reporting, and analytics. Optimize data assets for performance and quality, partner with stakeholders to translate requirements into solutions, act as a data steward and subject-matter expert, and deliver iterative improvements within a Kanban continuous-delivery framework.

Build and deploy ML and generative AI solutions for cybersecurity: design RAG and multi-agent architectures, fine-tune models (LoRA/QLoRA), manage LLM serving and vector databases, create ETL/data pipelines, implement evaluation and guardrails, run A/B tests, develop anomaly detection and dashboards, and collaborate with stakeholders to turn security use cases into production AI systems.

Join as a New Grad Software Engineer to build backend and full-stack systems that power production AI agents for healthcare automations. Work on orchestration, queues, run state, browser automation, model integrations, observability, testing, and reliability. Collaborate with cross-functional teams, own projects end-to-end, and improve runtime resilience for real-world healthcare workflows.

Build AI-native automation systems, developer tooling, and high-scale data ingestion for sportsbook odds and market feeds. Create AI workflows/agents that generate and validate code, maintain data feeds, automate debugging/testing/deployments, and monitor failures with automated remediation. Focus on internal automation, LLM orchestration, and distributed backend pipelines to accelerate the engineering team.

The Sr. Consultant, Back End Developer leads application systems design and development, provides technical consultation, and guides project teams towards strategic solutions aligned with business objectives.

Lead design and development of backend systems using Java and microservices. Translate business requirements into system designs, drive solution architecture, mentor junior engineers, manage integrations and APIs, and contribute to technical roadmaps and operational efficiency.

Provide technical leadership and L4 support for enterprise managed file transfer solutions. Design, configure, implement, and maintain MFT tools, define standards and roadmaps, troubleshoot complex incidents, and implement controls to improve uptime, stability, and security while collaborating with infrastructure, engineering, and security teams.

Lead design and develop full-stack application solutions with emphasis on Power Platform and Azure. Translate business requirements into system designs, build APIs and microservices, integrate with MS Graph/Teams/O365, and mentor junior developers while guiding technical strategy and stakeholder reviews.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, explanations, and reasoning. Provide clear, opinionated feedback, distinguish quality levels, and help define standards for excellent AI-assisted developer interactions.

Evaluate AI-generated coding interactions (Codex/Claude Code) for engineering judgment, usefulness, high-level correctness, explanations, and developer experience. Provide opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Contract senior engineer evaluates AI coding agent interactions (Codex, Claude Code) for engineering judgment, reasoning quality, usefulness, and alignment with strong developer practices; provides opinionated feedback and helps define high-quality interaction standards. ~10-20 hrs/week, $100-$200/hr, short-term through early May.

Lead production, analysis, and enhancement of the bank's Funds Transfer Pricing framework. Build and maintain Power BI dashboards, perform data testing and impact assessments, deliver insights to stakeholders, automate analytics, document data flows, and act as a trusted advisor to finance and business partners to support timely, accurate FTP rates and reporting.