Top Python Jobs in Toronto

Manage a team of Developer Advocates, guide their work, define team strategy, ensure high-quality output, and foster collaboration across departments.

The Staff Engineer will contribute to the MongoDB Server Query Integration team by building features on the database query engine, optimizing data processing, and mentoring team members.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Marketing Operations Manager will enhance the MarTech stack, manage core solutions, integrate AI systems, and collaborate across teams to optimize marketing processes.

As a Senior Security Engineer, you will build and maintain security automation, mentor engineers, and develop integrations using tools like Tines and AWS Lambda while focusing on security best practices.

As Sales Analytics Manager, you'll turn complex sales data into insights and tools for decision-making, focusing on metrics and analytics using Tableau, SQL, and Python, while collaborating with various teams.

The Senior Marketing Data Analyst will develop reporting frameworks, analyze data to support Product Led Growth, and create dashboards for stakeholders.

Seeking a Principal Data Engineer to build and maintain data structures, develop ETL/ELT processes, and ensure data quality across the organization.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

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

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

Lead architecture and implementation of networking components for MongoDB Server, enhance observability, mentor engineers, and manage project development.

As a Senior Full-Stack Engineer, you will enhance a leading platform, manage backend and frontend development, and provide technical mentorship.

The Embedded Site Reliability Engineer will develop and maintain software applications for Bitcoin mining, focusing on embedded systems and cloud observability. Responsibilities include software testing, bug triage, and collaboration with engineering teams to optimize performance and reliability.

The role involves developing BI pipelines, collaborating with various teams for regulatory data delivery, ensuring data integrity, and monitoring regulatory changes.

The Data Analyst will build and maintain data solutions for regulatory reporting, working with Legal, Compliance, Risk, and Engineering teams to ensure data accuracy, integrity, and compliance with regulations.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

As a Data Science Intern, you will engage in data analysis, collaborate with teams to improve products, and build dashboards for insights.

Zapier is seeking a Senior Software Engineer to develop backend and full stack solutions for their Enterprise customers, focusing on automation, AI, and improving system performance. Responsibilities include leading critical incident responses, architecting scalable APIs, and implementing features to enhance user management and observability across their platform.

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.

Develop and optimize C++ code for camera systems, implementing AI models and algorithms for real-time video analysis. Collaborate with AI/ML engineers and maintain system performance.

The role involves building internal developer tools, integrating AI into workflows, collaborating with engineering teams, and enhancing CI/CD processes to improve developer productivity.