Top Python Jobs in Toronto

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

As a Technical Account Manager, you will guide strategic customers through their orchestration journey, ensuring smooth adoption and driving measurable customer outcomes while providing expert technical advice and fostering relationships among cross-functional teams.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Chief of Staff/Business Operations Manager will drive strategic initiatives, optimize processes, and collaborate with executives to achieve company objectives.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The Staff Software Engineer at Narvar will drive the architecture of new product platforms and mentor junior engineers while developing scalable distributed systems.

Seeking a Staff Engineer in QA Automation with 5+ years in manual and automated testing, proficiency in multiple scripting languages, and experience with various automation tools and frameworks, working agile methodologies.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Lead the execution and optimization of cloud solutions, ensuring scalable and reliable infrastructure while collaborating with architecture and engineering teams.

As the GTM Insights & Analytics Lead, you will build BI reporting infrastructure for Sales, Marketing, and Finance, maintain the GTM data dictionary, lead revenue forecasting, and perform analytical projects connecting data across functions.

The Software Engineer II will design and implement core components of a new SMTP relay harness and own the mail flow services, collaborating with teams to meet production requirements.

As a Power Markets Analyst, you'll provide market analytics, insights, and collaborate with engineering and policy teams to optimize performance in established electricity markets.

The Engineering Manager will lead cross-functional teams of engineers, focusing on building high-performing environments, managing technical delivery, fostering team growth, and ensuring data-driven strategies.

As an AI/ML Architect, you will define architecture for AI solutions, guide teams, mentor, and align initiatives with business goals, focusing on ethical practices.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The Senior ML/RL Engineer will develop behavior models, implement RL algorithms focusing on safety, design reward functions and optimize training environments while collaborating across teams.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

Develop and deliver user-friendly software for B2B SaaS products. Collaborate with teams on both front-end and back-end development.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

As a Senior Software Engineer, you will design and deliver user-friendly software, manage APIs, and create scalable microservice architectures.