Top Python Jobs in Toronto

Lead design and delivery of cloud-native AI applications (agentic AI, RAG, LLM integration). Build and optimize RAG pipelines, vector DBs, and multi-agent orchestration. Implement MLOps/LLMOps, CI/CD, security and governance, model evaluation and optimization. Provide technical leadership, mentor teams, translate business needs into AI solutions, and ensure alignment with risk and regulatory frameworks.

Design and build predictive models and machine learning solutions using big-data technologies. Mine structured and unstructured data, develop end-to-end scoring pipelines, collaborate with product teams and stakeholders, and provide data-driven recommendations to senior leaders to improve customer experience and business outcomes.

Design and build ML and deep learning models, perform large-scale data analysis and EDA, collaborate with engineers and product teams on ETL and data solutions, provide data-driven recommendations to business stakeholders, and scale analytics into production-ready solutions.

Lead technical strategy and modernization for enterprise compute and virtualization platforms. Define architectures, standards, run POCs, drive IaC/automation adoption, collaborate with cloud/security/architecture teams, present to executives, mentor engineering teams, and ensure scalability, resiliency and operational excellence across x86 and virtualization environments.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

Lead operations, stability, security, and scalability for enterprise data management platforms. Provide production support for tools like Alation, Manta, Informatica and PowerDesigner, monitor platform health, drive cloud modernization and migrations, design platform enhancements, automate processes with scripting, manage APIs and integrations, troubleshoot complex issues, and provide technical leadership across stakeholders and Agile teams.

Lead reliability engineering for grid automation products (protection relays, RTUs, control devices, software). Develop reliability models, test plans (HIL, environmental, stress), run FMEA/FMECA and RCA, analyze field data, define KPIs (MTBF/FIT), drive predictive maintenance, ensure regulatory compliance, and coach teams while collaborating with utilities and product groups.

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.

The Associate Consultant will provide analytical support for client projects in life sciences, assist in developing proposals, conduct quantitative analyses, and communicate findings to stakeholders, while working collaboratively in a team environment.

Lead design, automation, and lifecycle management of PostgreSQL environments for high availability, scalability, security, and disaster recovery. Automate provisioning, upgrades, monitoring, and credential rotation; optimize schemas and queries with Product and Data teams; drive multi-region cloud database strategy; act as senior escalation for incidents and root-cause analysis; mentor engineers and document reusable operational patterns to improve reliability and developer productivity.

Provide high-quality analytical support to life sciences client projects: perform quantitative and qualitative analyses, develop client deliverables (Excel/Power BI/PowerPoint), own defined workstreams, support client interactions, and contribute to internal knowledge and tool development. Work with imperfect data, document assumptions, and collaborate with senior consultants to deliver timely recommendations.

Lead end-to-end signal integrity for high-speed digital and RF systems up to ~70 GHz: perform 3D EM and circuit simulations, define PCB stackups, develop IBIS‑AMI models, design calibration/de‑embedding structures, run VNA/TDR measurements, correlate simulation with hardware, troubleshoot reflections/resonances/crosstalk, and produce documentation for cross‑functional teams.

Develop, deploy, and own RTL-to-GDSII physical design methodology and CAD flows for IP delivery. Automate PPA exploration, document flows, partner with design teams and EDA vendors, qualify new nodes/PDKs and EDA releases, and apply ML/LLMs where they improve flow optimization and scalability.

Support exposure and enterprise risk management by collecting, validating, analyzing, and reporting exposure data across insurance and reinsurance portfolios. Maintain dashboards and reporting tools, perform accumulation and catastrophe modeling analyses, prepare management reports, and collaborate with underwriting and ERM stakeholders on risk insights and ad hoc analytical projects.

Design, build, test, and maintain scalable integrations and data pipelines using Informatica IDMC, Workato, and cloud data platforms. Integrate files, databases, warehouses, and CRM systems; implement data quality, error handling, and performance tuning; support UAT, deployment, documentation, and operational handover; collaborate with architects, developers, and analysts to deliver well-architected solutions.

Design and optimize scalable ETL pipelines and enterprise data warehouse solutions to support omnichannel analytics and AI products. Collaborate with analysts, engineers, project managers, and clients to gather requirements, deliver BI dashboards and integrations (Power BI, Fabric, Tableau), ensure data quality, and standardize engineering practices including Git, documentation, and reusable code.

Support data collection, entry, analysis, and interpretation for market research projects. Prepare reports and presentations, assist senior researchers and project managers with analytical tasks, and contribute to team meetings and brainstorming sessions.

Lead global MES design, configuration, integration, and lifecycle for pharmaceutical manufacturing. Drive core model adoption, ensure GxP/21 CFR Part 11 compliance, troubleshoot complex MES-automation integrations, apply scripting for automation, and provide technical leadership across multi-site deployments.

Design, develop, and maintain scalable Databricks-based ETL/ELT data pipelines and transformations. Support migration from HANA to a modern lakehouse, ensure data quality and performance, troubleshoot issues, participate in code reviews, and collaborate with architects, analysts, and stakeholders to deliver enterprise reporting, analytics, and AI-ready data solutions.

Build and ship LLM-powered features and agentic workflows for a financial platform. Own data pipelines, retrieval architectures, context design, and MLOps to move models from prototype to production. Collaborate with domain experts, evaluate experiments, and contribute to AI Lab tooling and practices.

Provide end-to-end technical support for OpenAI products, troubleshooting API failures, integrations, authentication, and production incidents. Own escalations, reproduce issues, analyze logs, and collaborate with Engineering and Product to prevent recurrence. Drive automation and AI-powered tooling to scale operations, and provide occasional on-call holiday/weekend support.

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.

Work with product, engineering, and analytics to detect fraud and improve payments by designing and analyzing experiments, building ML models and data pipelines, monitoring product health, and translating insights into action to protect riders and drivers.

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.

Lead investment analytics and daily performance reporting for multi-asset portfolios. Perform attribution, scenario and sensitivity analyses, build analytical models and reporting solutions, oversee trade processing and data integrity, and support portfolio managers with risk and performance insights.