Top Python Jobs in Toronto

The role involves designing and implementing ML pipelines, optimizing models for production, collaborating with scientists and engineers, and ensuring responsible AI practices.

The role requires delivering production support, managing cloud infrastructure, mentoring juniors, and ensuring compliance with SLAs.

The Data and Analytics Lead will enhance proprietary datasets, develop analytical models, manage data, and collaborate on business analysis within the Private Market Valuations team.

As a Machine Learning Intern at Pinterest, you will lead ML projects, analyze data, build models, and collaborate with teams to solve complex problems.

Define, implement, execute and maintain test plans and cases for ADAS controllers. Automate tests, develop and troubleshoot HIL bench tests, use Python and CAN/Ethernet tools (INCA, CANoe, CANalyzer, VSpy), produce reports, and apply calibration/validation and AI tools to improve test coverage and productivity.

Embed with application teams to lead cloud-native modernization on AWS, drive AI-assisted SDLC adoption, implement IaC and CI/CD (Terraform, GitHub/GitLab), solve integration challenges, and upskill teams while enforcing engineering standards.

Lead end-to-end customer analytics projects as a senior individual contributor: frame problems, run exploratory and impact analyses, design/measure experiments, build KPIs/dashboards, communicate insights to stakeholders, and mentor junior analysts to improve analytical quality and decision-making.

Lead product analytics to inform product development, experimentation, and GTM decisions. Partner with stakeholders to define KPIs, perform hands-on analyses, specify BI/dashboard requirements, support A/B testing and experimentation, and collaborate with Data Science on ML/AI and automation to measure and drive product impact.

Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.

The Data Engineer will build and maintain reliable data pipelines and systems for financial forecasting, ensuring data quality and working with stakeholders to support analysis needs.

The Senior Backend Engineer will design and enhance scalable backend systems supporting LLM-driven products, maintain infrastructure reliability, and collaborate on engineering projects.

The Senior Software Engineer develops and supports complex insurance systems, coordinates project team activities, and ensures application functionality while optimizing processes and workflows. Requires strong communication and technical skills across various technologies.

The Senior Backend Engineer will enhance AI-native document generation workflows, integrate LLM solutions, and contribute to architectural excellence in a collaborative environment.

Responsible for building scalable backend systems, collaborating with cross-functional teams, and leading projects from design to deployment in a high-growth tech environment.

Lead the design, implementation, and management of enterprise data storage and network infrastructure, ensuring security, availability, and performance. Mentor team members and participate in 24/7 on-call support.

Develop and maintain full stack software solutions for lidar products, manage cloud infrastructure, and optimize performance in a Linux environment.

Lead design and implementation of test automation strategies and QE practices across core banking and payments. Build and optimize automated test frameworks, model-based test design, API automation, service virtualization, test data and environment management, and integrate AI-driven automation solutions. Mentor team members, coordinate projects, translate requirements into test cases, and drive QE transformation and DevOps practices.

Lead the AI Platform team, define AI strategy, deliver AI capabilities, mentor engineers, and foster a culture of innovation and collaboration.

The Director of Pricing & Analytics will lead a team to improve Priceline's pricing strategy, partner with various teams, and implement analytical solutions to ensure competitive pricing in the travel industry.

As an Associate AI/ML Developer, you'll build AI platforms, support AI pipelines, maintain AI/ML tools, and ensure model quality and monitoring while collaborating with teams on governance and security.

The Intermediate Operations Engineer will optimize .NET and React applications, support Azure environments, troubleshoot issues, and enhance system reliability while mentoring junior staff.

The Data Analyst will analyze data to enhance digital experiences, develop personalization strategies, and collaborate with teams to optimize customer engagement.

As a Data Analyst, you will create and optimize Power BI dashboards, perform data analysis using SQL and Python in an Azure environment, and utilize Generative AI tools for enhanced analytics. You'll partner with stakeholders to develop user-friendly insights and solutions that support decision-making and governance within the organization.

Plan and execute internal audit and advisory engagements, evaluate risks and controls, lead SOX testing, produce clear findings and recommendations, leverage data analytics and automation, follow up on remediation, and coach junior staff while collaborating with senior stakeholders.

The role involves conducting audits, developing risk assessments, managing stakeholder expectations, utilizing analytics, and mentoring junior staff to improve governance and compliance.