Top Python Jobs in Toronto

As a Solutions Engineer, you will enhance customer engagement with our AI solutions, collaborate with sales, support technical integration, and empower users through documentation and self-service tools.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.

Design, develop, and maintain high-performance desktop and enterprise software and algorithms for scientific data compression, visualization, and management. Build scalable backend and web applications, optimize real-time performance (multi-threading/GPU), ensure code quality with tests and reviews, support deployed products, document technical specifications, and collaborate in Agile teams across global stakeholders.

Lead architecture, design, and implementation of image compression, decompression, and visualization systems; develop and optimize high-performance algorithms; build scalable enterprise and desktop solutions; balance compression efficiency, performance, reliability, and maintainability; drive engineering best practices and agile execution; collaborate globally and lead a software engineering team.

Develop, validate, and deploy supervised and unsupervised machine learning models; transform and analyze large structured and unstructured datasets using Python, SQL and BI tools; apply OCR and NLP techniques; maintain source control and MLOps processes; present findings via dashboards and reports to technical and nontechnical stakeholders.

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 Pricing Analyst will analyze data to provide pricing insights, support pricing decisions, maintain dashboards, and ensure pricing compliance while collaborating across various teams.

This role involves architecting and implementing AI solutions, focusing on agentic systems, product integration, and best practices within a team setting.

The Principal Architect will oversee architecture for Fulfillment IQ's integration platform, ensuring scalability and performance while setting architectural standards and leading technical initiatives.

The Margin Analyst collects and analyzes pricing and costing data, monitors margins, manages training for sales teams, and develops strategies to mitigate pricing risks.

Lead complex fraud investigations, mentor a team, develop proactive fraud strategies, and collaborate with cross-functional teams to enhance platform trust and resilience.

Lead investigations into complex fraud cases, develop proactive strategies, enhance fraud detection, and collaborate with various teams to protect the Airbnb platform.

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

Design and develop AI-driven systems to automate construction workflows. Collaborate with product and design teams to deliver robust, scalable automations.

As a Staff Software Engineer, lead AI-driven solutions by defining the technical architecture for agentic systems, ensuring scalability, reliability, and mentoring other engineers.

The Software Engineer II will design, develop, and deploy AI-driven agents, collaborating with Product and Design to create scalable solutions for construction workflows.

Consultants at Tiger Analytics design analytics solutions for clients, manage projects, and engage stakeholders to translate business problems into actionable insights.

As a Senior Data Engineer, you'll design and maintain cloud-native data infrastructure, develop data pipelines, and ensure high-quality data solutions while mentoring teammates and influencing strategy across the data ecosystem.

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.

Lead data governance initiatives, ensuring data integrity through automation and comprehensive analysis, while mentoring teams and developing robust frameworks.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.