Top Python Jobs in Toronto

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

The role involves developing and deploying generative AI applications using Microsoft Azure AI stack, focusing on LLMs, agent-based workflows, and scalable AI infrastructure.

Design and implement end-to-end solutions for Generative AI applications, focusing on backend services and user-friendly frontend experiences while ensuring performance, security, and fault tolerance.

The Senior Data Engineer will build and maintain datasets, create scalable data pipelines, and collaborate with teams to enhance data utility for decision making in a fast-paced environment.

As an AI Engineer (Pre-Sales), you'll work with sales, design technical demos, manage POCs, and build AI solutions to meet customer needs.

The Genesys Cloud CX Integration Engineer will design, implement, and maintain integrations between Genesys Cloud CX and various CRMs. Key responsibilities include configuring data flows, ensuring system reliability, and collaborating with analysts to validate requirements while staying updated on integration capabilities.

As a Software Engineering Manager, you will lead technical projects, mentor developers, and engage in hands-on coding, focusing on system reliability and performance.

The Senior Analyst will streamline Finance Operations, implement automation solutions, and drive continuous improvement through analytics and data management.

Seeking a Senior Lead Research Scientist to conduct research and engineering in autonomous AI, develop benchmarks, publish studies, and implement safe learning loops for agents.

Responsible for deploying and maintaining edge and cloud infrastructure, collaborating with customer IT teams, and ensuring operational reliability across systems.

The Senior Controls Engineer will design and program control systems for manufacturing equipment, troubleshoot issues, and collaborate on multidisciplinary engineering projects.

The role involves creating high-quality technical documentation for Confluent's data streaming platform, collaborating with various teams, and utilizing modern documentation tools.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

As a Senior Machine Learning Engineer, you will design and enhance the AI evaluation platform, focusing on data pipelines and model benchmarking systems, collaborating closely with team members.

As a Machine Learning Scientist at LMArena, you'll lead open-source research, design experiments, and develop methodologies to evaluate AI models, collaborating across teams and engaging with the research community.

The Machine Learning Scientist will design experiments, analyze data, develop evaluation methods, and collaborate on AI model research and production.

As a Senior Data Scientist, you will analyze complex datasets, form hypotheses on AI model performance, and collaborate with ML engineers to improve AI evaluation systems.

Build and optimize data pipelines for user vote data, ensuring data quality and scalability to advance AI model evaluations. Collaborate with teams to deliver insights and analytics.

The Product Analyst analyzes product performance metrics, collaborates with teams to derive insights, designs experiments, and builds dashboards for improving product reliability in autonomous trucking.

The Senior Application Security Engineer will enhance security measures, conduct assessments, collaborate with teams, and ensure the safety of products and data.

The Software Engineer II will develop and maintain backend services for email security, focusing on system stability, performance, and scalability, while collaborating with cross-functional teams and participating in on-call rotations.

Design and deploy AI-powered workflow solutions, conduct requirements discovery, implement integrations, and build relationships with customers.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

As an Applied AI Engineer, you'll drive the development of AI-powered financial products, collaborating across teams to build and improve systems, optimizing generative AI applications, and contributing to foundational model applications.

The Solutions Architect at Snowflake engages with customers to optimize their use of the Snowflake platform, providing technical leadership, architecture recommendations, and AI/ML implementation for business solutions.