Top Python Jobs in Toronto

The Intermediate Quality Engineer creates and manages testing strategies, including automation, coordinates projects, ensures quality compliance, and communicates results to stakeholders.

The Applied AI Research Scientist will work on AI projects, enhancing capabilities in deep learning, NLP, and systems based on foundation models while collaborating with various teams and staying current with AI advancements.

The AI Automation Engineer will design, develop, and enhance automation solutions using AI and machine learning, primarily focused on improving business processes and operational efficiency.

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

As a Success Architect for Salesforce Agentforce + Data Cloud, you'll optimize customers' tech architectures, guide through migrations and enhance business processes for better outcomes and ROI.

The BIM Coordinator is responsible for coordinating BIM processes, ensuring model integration, identifying conflicts, and collaborating with multidisciplinary teams for infrastructure projects.

The VP, Capital Markets Conduct Risk Management oversees conduct risk frameworks, ensures regulatory compliance, and promotes risk management culture across Capital Markets while managing a team and engaging stakeholders.

The Senior Analyst on the Credit Strategy team designs and optimizes credit risk strategies, analyzes performance trends, develops dashboards, and collaborates with various stakeholders to ensure compliance and effectiveness in credit decisions.

Lead the development and refinement of credit risk strategies, utilizing predictive modeling and analytics to optimize portfolio performance and support business objectives.

The Manager, Fraud Analytics will analyze large datasets and build predictive models using machine learning techniques to enhance business decisions and improve customer experiences in fraud detection.

The Technology Operations Manager will optimize technology operations, oversee critical applications, lead a team, and spearhead innovation in operations and support.

The Data Scientist will develop AI and ML models for fraud detection, analyze datasets, implement solutions, and collaborate with teams for improved security and efficiency.

As a Data Engineer, you will design, develop, and optimize data pipelines, ensuring data quality and compliance while working with cross-functional teams on data integration and architecture.

The role involves organizing valuation processes, resolving price challenges, maintaining client relationships, and ensuring quality control of market data for OTC derivatives.

As a Data Security Engineer, you'll develop, integrate, and troubleshoot multi-platform applications, ensuring compliance with security standards and collaborating with teams on data protection projects.

As a Test Automation Consultant, lead the design and implementation of automated testing solutions, optimize test strategies, and provide mentorship to improve overall Quality Engineering processes at CIBC.

As Senior Manager, Business Analytics, you lead data infrastructure development for the Collections function, ensuring data integrity and analytics comply with governance standards. You'll manage data pipelines, collaborate with teams, and stay updated on technology innovations.

The Sr. Manager Business Analytics Projects will lead the development of data infrastructure for CIBC's Collections function, ensuring accurate and compliant data for business insights and decision-making, while collaborating with various stakeholders.

The Senior Software Developer will automate cloud infrastructure and improve data platform reliability, collaborating with various teams to implement best practices.

The role requires leading AI agentic deployments, designing complex AI solutions, mentoring peers, and ensuring successful technical delivery for customers.

The Cyber TechOps Manager oversees a team enhancing cybersecurity operations through automation and integration, improving efficiency, and driving engineering innovation.

The Senior AI Engineer will design, develop, and deploy AI solutions, mentor junior engineers, manage data pipelines, and ensure responsible AI practices.

This role focuses on analyzing data, building Power BI dashboards, and collaborating with stakeholders to present FTP insights while supporting production processes.

The Senior Machine Learning Scientist uses advanced analytics to derive insights from data, develops predictive models, and collaborates with stakeholders to enhance analytics solutions.

Conduct environmental noise assessments, perform acoustical modeling, and provide mitigation recommendations. Collaborate with multi-disciplinary teams and manage compliance with regulatory standards.