Top Python Jobs in Toronto

The Databricks ML Administrator will manage ML environments, oversee governance, secure operations, and ensure reliable model training and deployment.

Lead technical support for an AI voice platform, debug complex issues, build AI agents and automations, and oversee a support engineering team.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

The Staff Software Development Engineer will define technical vision, mentor engineers, oversee AI platform development and ensure scalability, reliability and security.

The Senior DevOps Engineer will design, implement, and maintain CI/CD pipelines, enhance cloud platform capabilities, and ensure operational excellence across engineering teams.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The Director of Business Intelligence leads analytics strategy for a CPG organization, driving insights across various teams and optimizing marketing performance through data-driven decisions.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Senior Software Engineer, you will enhance customer experience by building features, resolving technical issues, and collaborating with sales and customer success teams to meet customer needs.

The Staff Software Engineer will develop full-stack applications, owning technical architecture, ensuring quality and speed, ideally with startup experience.

As a Senior Software Engineer, you will lead growth initiatives, design experiments, implement A/B tests, and build new features to enhance customer acquisition and retention.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Design, develop, and deploy Salesforce Health Cloud functionalities, collaborating with stakeholders while ensuring best practices for healthcare data integration and system migration.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

The role involves designing and deploying AI applications, leading development projects, and mentoring engineers while collaborating with experts in a healthcare-focused environment.

The Senior Software Engineer will enhance engineering productivity by developing systems, conducting data analysis, and collaborating with teams to optimize the software development life cycle.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.