Top Python Jobs in Toronto

The Data Science Intern will develop machine learning algorithms, analyze data, and communicate insights to support local retailers. Responsibilities include executing projects and tackling complex marketplace issues.

The Senior Data DevOps Engineer will design and maintain automated pipelines, support reliable operations of data platforms, and ensure system stability and compliance. Collaboration with various teams is essential to improve practices and communicate risks effectively.

As a Data Engineer, you'll build and maintain data pipelines, optimize infrastructure, and ensure data accuracy, collaborating with data scientists and analysts.

As a Junior Software Engineer, you will develop full-stack features for an AI-powered web application, integrating AI models and participating in architecture planning.

The Senior Software Engineer leads full stack development of AI-powered applications, driving innovation in AI/ML systems, mentoring engineers, and collaborating with cross-functional teams.

The SRE will ensure system reliability and performance, automate processes, troubleshoot incidents, and collaborate with teams to maintain robust infrastructure.

Develop and maintain scalable data pipelines using Python and SQL, manage Snowflake, deploy applications on OpenShift, and ensure data quality.

The Data Architect will optimize data pipelines using Apache Airflow, design ETL processes, and collaborate with teams to implement data solutions.

The Staff Software Engineer - AI will architect, implement, and optimize AI-driven systems, mentor engineers, and collaborate with cross-functional teams to enhance workflows.

As a Senior Software Engineer, Infrastructure at Sentry, you'll design and maintain scalable systems, collaborate with teams, and enhance operational efficiency. Responsibilities include building platform services, troubleshooting issues, and creating effective documentation.

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

Lead and develop a high-performing team of engineers focused on building AI-powered legal drafting solutions, driving technical strategy, and delivering innovative products.

The Principal, Completion Portfolio Strategies will drive research and investment strategies within a quantitative framework, manage QIS, and foster innovation across portfolio management.

The Risk Strategist will analyze fraud trends, optimize fraud rules, collaborate across teams, and develop data-driven strategies to enhance fraud prevention and customer experience.

As an Optical Engineering Intern, you'll support the development of star tracker products, working closely with mentors and applying engineering concepts to solve challenges while collaborating across teams.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

Oversee bank's liquidity, funding, market, and securitization risks; assist in models development for stress testing; prepare submissions and reports.

Lead Cloud Engineer responsible for cloud migration, infrastructure development using AWS and Azure, and promoting a cloud-native approach. This role involves overseeing teams, optimizing processes, and mentoring junior engineers.

The role involves defining and verifying vehicle platform requirements, enhancing capabilities, and ensuring safety compliance for self-driving technologies, while leading test campaigns and collaboration.

Join Onex as a Risk Analyst in Toronto, managing data requests, monitoring reports, producing risk reports, and analyzing cross-asset relationships under supervision.

The role involves coordinating with various teams to resolve billing issues, analyzing complex datasets using SQL, and optimizing processes. Responsibilities include managing stakeholder communications and auditing pricing for high-value customers.

Design and maintain backend services to scale Hive's platform, focusing on high-throughput data pipelines, API integration, and monitoring solutions.