Top Python Jobs in Toronto

As a Principal Software Engineer, lead initiatives for the AI platform, manage Kubernetes environments, and develop infrastructure automation using Terraform. Collaborate with teams to design scalable solutions and ensure deployment compliance.

The Senior Test Development Engineer/Designer develops automated testing solutions, validates design concepts, and mentors junior staff in test development for electronics modules in life sciences.

The Test Development Engineer will design automated test solutions, develop LabVIEW code, and manage hardware transfer to manufacturers while supporting test development processes.

Design and develop API platforms, ensuring real-time data replication and automation. Collaborate with teams, establish best practices, and enhance performance.

The role involves developing automated data quality checks, validating data pipelines, resolving data anomalies, ensuring compliance, and optimizing cloud quality solutions.

You will provide expertise in multi-asset class risk analytics, support sales efforts by demoing products, and enhance solutions based on client feedback.

As a Data Engineer at AIR MILES, you will optimize data architecture, enhance data flows, and support analytical platforms for decision-making using big data technologies.

The Data Analyst will enhance digital experiences through data analysis, implementing personalization strategies, and monitoring performance indicators.

This role involves designing and deploying AI applications, building APIs, ensuring data security, and collaborating with teams to implement AI solutions in financial services.

The role involves architecting and curating data sources for digital experience measurement reporting, collaborating with partners, and ensuring data quality.

The Network Specialist will support and enhance the company's global network by designing, implementing, and optimizing network infrastructure and application delivery solutions across various environments.

The Security Advisor Specialist conducts offensive security testing, identifies vulnerabilities, and improves security posture for Intact Financial globally. Responsibilities include simulating real-world attacks, analyzing security assessments, and collaborating with governance teams.

Develop scalable APIs and backend solutions for Salesforce and Workday. Ensure security, performance, and reliable integrations with various systems.

As a Senior Consultant, you'll consult on risks, implement solutions, and manage privileged access capabilities while improving security processes.

Develop an AI Platform for efficient training and inference of large scale models, focusing on scheduling and resource management.

The role involves designing and implementing cloud solutions, ensuring security compliance, collaborating with stakeholders, and enhancing cloud capabilities at BMO.

As an ERP Developer, you will manage Dynamics 365 Finance & Operations with a focus on DevOps, configuration, and Power Platform integration, ensuring performance and compliance.

The Senior AI Data Engineer will design and implement AI agents, develop scalable systems, integrate machine learning models, and collaborate with cross-functional teams to enhance AI capabilities and automate tasks.

The Apps Support Senior Manager manages teams, oversees technical systems, handles incidents, ensures compliance, and maintains regulatory platforms' stability.

As an Agentic Data Specialist, design and manage data systems for AI agents, ensuring seamless integration and collaboration across enterprise technologies.

The Senior Analyst role involves advanced analytical techniques to derive insights from large data sets, focusing on fraud detection and predictive modeling. The analyst collaborates across teams to develop data-driven strategies and enhance customer experience.

The MAS Mobile Developer designs and develops mobile solutions within the IBM Maximo Application Suite, focusing on enhancing mobile applications for asset management, data capture, and workflow execution.

The Data Engineer will design, develop, manage data pipelines, automate infrastructure using Terraform, collaborate with teams for compliance, and improve data solutions.

The role involves analyzing, designing, and delivering secure data pipelines, leadership in data engineering practices, using Agile methodology, and collaboration with analysts and architects.

As an Infra & DevOps Engineer, you will enhance DevOps practices, optimize systems, implement automation, and support GenAI technologies in a collaborative team environment.