Top Python Jobs in Toronto

Lead a data engineering team responsible for customer integrations, ensuring quality, improving processes, and building data pipelines in a hands-on management role.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The Senior Data Engineer II will design and operate data pipelines, manage data modeling, ensure data quality, and collaborate across teams for analytics and AI integration.

The Senior Software Engineer will design, build, and maintain solutions for transit agencies, focusing on IoT devices and cloud services, ensuring reliable communication and device management.

The Elastic AI Engineer will design agentic workflows, integrate AI models with tools, manage deployment, and ensure data security while leveraging the Elastic Stack for enterprise solutions.

The Senior Cloud Engineer designs and operates secure, scalable cloud solutions on AWS, implements Infrastructure as Code, and ensures compliance with security practices.

Provide technical assistance and troubleshooting for Calix Access products, focusing on Cloud-based EMS applications, while collaborating with teams to resolve network issues.

As a Senior QA Engineer, you will ensure quality across mobile and backend systems, develop automation strategies, and collaborate with teams to improve testing processes.

Architect and develop systems for the Ads platform, focusing on campaign management, targeting, delivery, and performance. Lead technical decisions and mentor engineers while collaborating with cross-functional teams to fulfill business requirements.

The Product Manager will oversee product advancement, identify user needs, develop strategies for adoption, and collaborate with engineering to ensure efficient product development.

As a Data Engineer, you'll design and maintain data pipelines, model data for analytics, ensure data quality, and collaborate with teams to meet data needs.

The Staff Platform Engineer will design and implement scalable infrastructure for AI applications in manufacturing while ensuring reliability, operability, and cross-team collaboration.

The Senior Software Engineer, Voice AI will design and implement complex systems for emergency response communications, oversee AI integrations, and provide technical mentorship.

As an AI Engineer, you will develop and deploy computer vision models, monitor their performance, own AI projects, and collaborate cross-functionally.

The Lead Platform Engineer will ensure platform reliability, performance, and scalability, guide technical design decisions, and manage a small engineering team.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

The role involves end-to-end verification of designs, developing plans, building testbenches, analyzing test failures, and supporting validation activities across multiple programs.

Lead the architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

As a Database Developer, you will design, implement, and maintain databases, perform data analysis, and support ETL processes using a variety of technologies.

The role involves managing the Data Catalog platform, providing user support and training, collaborating on data governance, and evaluating system enhancements.

The IT Specialist will manage IT operations, device management, security compliance, and support employee onboarding/offboarding while ensuring system reliability.

Develop AI technologies for clinical trials, focusing on scalable ML infrastructure, optimizing models, and working cross-functionally to enhance safety and efficiency.

The Staff Firmware Engineer will design, implement, and optimize SSD firmware features, perform failure analysis, and collaborate across teams to ensure effective firmware development and deployment.

Develop and maintain infrastructure platforms for AI services, build APIs, manage Kubernetes clusters, and automate workflows using CI/CD practices.

The role involves developing capabilities for data analytics, improving data models, and mentoring teams while ensuring data quality and integrity.