Top Python Jobs in Toronto

Design, build, and optimize scalable data ingestion, transformation, validation, and modeling pipelines. Collaborate with architects, product managers, and engineers to meet analytics/product needs, implement CI/CD, monitor data quality and pipeline performance, evaluate new tools, and mentor team members.

Design, build, and maintain DevOps pipelines and infrastructure for AI and data applications. Implement IaC, manage and upgrade clustered server infrastructure, improve monitoring, integrate enterprise release tools, and troubleshoot platform issues to enable scalable, secure deployments.

Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.

Design, build, and operate secure, scalable multi-cloud solutions across Azure and AWS. Develop reusable IaC (CDK, Terraform, Bicep), maintain CI/CD pipelines, support containerized workloads (AKS, EKS, ECS, Fargate), ensure security and compliance, optimize cost and performance, and enable internal engineering teams on cloud best practices and onboarding.

Design, build, and manage data pipelines, warehouses, and semantic models. Source and standardize data, ensure quality, and deliver analytics and reports. Collaborate with stakeholders and communicate technical methods to non-technical audiences, supporting mutual fund and market-based insurance product analytics.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

Lead development of end-to-end clinical AI workflows, from data ingestion and feature engineering to modeling, validation, and production deployment. Design advanced models (in-silico trial prediction, patient representation, disease progression, clinical foundation models), define validation frameworks, integrate models into decision workflows, communicate insights to stakeholders, mentor junior scientists, and drive scientific publications and cross-industry collaborations.

Lead analytics and reporting for the US portfolio: assess portfolio risk, monitor performance, develop KPIs, optimize credit exposure, produce regulatory and management reports, build dashboards, and deliver data-driven recommendations to stakeholders.

Lead design and delivery of scalable data platforms and ETL/ELT pipelines on Azure to support analytics and AI workflows. Build data models, ensure data governance and quality, integrate LLMs/AI tools, enable real-time ingestion and observability, and translate business requirements into analytics solutions for capital markets stakeholders.

Design and execute manual and automated end-to-end tests for iOS, Android, and web apps. Define test strategies for P0 launches, automate E2E test cases, run regression cycles, and collaborate cross-functionally to ensure product quality and user experience.

Operate and evolve cloud-native infrastructure for CBC's digital products. Implement IaC, Kubernetes platforms, GitOps CI/CD, observability, database scaling, and cost-aware platform improvements. Support production services, participate in incident response and on-call rotation, migrate workloads to new architectures, and collaborate with product and engineering teams to ensure reliability and scalability.

Lead design and modernization of patient-facing backend services, driving API-first and event-driven architectures on AWS. Improve reliability, observability, security, and scalability of communication pipelines (email, SMS, notifications). Mentor engineers, enforce API contracts, reduce tech debt, and partner with cross-functional teams to build secure systems handling sensitive patient data.

Work with the backend e-Transfer team to develop and modernize backend services: build features, improve unit test coverage, standardize documentation, and support application modernization under mentorship in a high-impact payments environment.

As a Software Developer, you will design, develop, and operate infrastructure platforms and tooling, ensuring system reliability and improving developer workflows. You will work with distributed systems and collaborate with various teams to enhance application development.

Build and maintain automation, reporting, dashboard, and workflow solutions for Financial Planning. Extract, transform, validate and analyze data, identify gaps and automation opportunities, translate requirements into scalable technical solutions, monitor recurring processes, document logic and controls, and collaborate with stakeholders. Use AI-enabled development tools and learn new systems as needed.

Build, maintain and improve audience data pipelines and integrations. Collaborate with product, UX and architecture teams to design, estimate and deliver features, ensure test automation, cloud/container deployments, and uphold data governance and privacy requirements.

Manage an analytics and reporting team to build data and analytical capabilities for Group Retirement Services. Liaise with stakeholders, prioritize work, perform data discovery, create visualizations, automate and improve processes, ensure documentation, and comply with privacy and data security requirements.

Design, deploy, and operate enterprise SSO and IAM solutions across corporate and partner applications. Lead federation architecture (SAML/OIDC/OAuth/WS-Fed), integrate apps and APIs, analyze logs and tokens, troubleshoot complex authentication/network issues, enforce Zero Trust and contextual MFA, automate workflows with scripting, and participate in on-call rotations for production support.

Design, develop, test and maintain GenAI/ML components and applications. Implement new features, perform unit tests, fix defects, participate in code reviews, incident response, and collaborate with stakeholders to ensure scalable, secure engineering solutions and continuous improvement.

Support pricing and risk management for Group Benefits by monitoring pricing drivers, presenting recommendations, implementing changes with business partners, responding stakeholder queries, leading small projects, and supervising/mentoring actuarial assistants as needed.

Lead independent experimental projects on 3D genome organization in cancer using Hi-C/HiChIP and complementary epigenomic assays. Prepare NGS libraries, work with organoid models, integrate bulk, single-cell and spatial multi-omics, collaborate with computational scientists, mentor trainees, and contribute to manuscripts and grants.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

Design and develop scalable Medallion Data Lakehouse architectures and automated ETL/ELT pipelines on Azure using Databricks, Delta Lake, ADF, and dbt; integrate structured and unstructured data into dimensional schemas; optimize SQL and storage formats; implement CI/CD, data governance, Unity Catalog, and Power BI integration; embed ML insights.

Lead design and delivery of enterprise analytics and AI solutions on cloud (primarily GCP). Build data models, pipelines, visualizations, and ML models; provide stakeholder leadership, secure data access guidance, automation and process improvements, and upskill teams to enable scalable, self-service analytics.

Design, build, and deploy software components for a distributed system. Maintain uptime, collaborate on product development, and ensure quality engineering processes.