Top Python Jobs in Toronto

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

Manage and optimize credit product performance, analyze portfolio trends, build client relationships, and present recommendations for strategic initiatives.

As a Software Engineer Intern, you will write high-quality code, be part of a software development team, and gain exposure to various software development phases.

Analyze market trends, support business strategy development, build financial models, and collaborate with teams on product pricing strategies.

As a Data Engineer II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.

Lead the design and implementation of IoT solutions, developing applications and microservices for manufacturing environments, integrating legacy systems with modern infrastructure.

The Analytics Engineer transforms data into insights for KUBRA's clients. Responsibilities include designing dashboards, conducting data analysis, and collaborating with teams to align metrics with business goals.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

The Cloud Platform Engineer will automate AWS infrastructure deployment, maintain CI/CD pipelines, enhance observability tools, and support developer operations.

Lead the Continuous Integration (CI) and Build Infrastructure team, optimizing development pipelines, systems design, and team collaboration for software quality and reliability.

The Senior Associate Data Engineer will design and build data systems, manage data pipelines, and ensure data quality to support data-driven decisions.

The Data Analyst will analyze large datasets, develop reports, and collaborate with various teams to improve player engagement and experience.

The Administrator, Systems supports industrial automation and CAD applications, monitors server performance, manages backups, and provides user support.

As a Software Engineer for the Blockchain Platform, you will upgrade blockchain nodes, implement automation, and streamline services to reduce manual effort.

The Senior Data Scientist will leverage data-driven insights to guide product roadmaps, build foundational tools for AI/ML growth, and communicate findings effectively to influence business decisions.

Lead the development and strategy of Dropbox's metadata infrastructure, ensuring scalability and reliability while mentoring engineers and coordinating cross-functional teams.

Design and build software for millions of users, focusing on sync experiences while mentoring and improving team culture. Participate in on-call rotations as needed.

As a Staff Engineer at Dropbox, you'll architect scalable solutions, mentor others, influence engineering standards, and drive technical initiatives for core sync systems.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

The Senior Staff Engineer will build and operate high-performance datastores, ensuring reliability and performance, and provide technical leadership in data management practices.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

Lead the data science team to develop machine learning models, oversee the model development lifecycle, collaborate with teams, and mentor staff.