Top Python Jobs in Montreal

Seeking Python Developers in Montreal for diverse projects within data science and risk systems. Positions suit various experience levels from junior to senior roles.

The role involves designing and implementing a data forecasting platform, collaborating with finance leaders, applying AI techniques, and ensuring the quality and performance of Python code.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

The Senior Python Engineer will design and implement scalable microservices and REST APIs, mentor junior engineers, and shape technical strategy for AI-powered cybersecurity solutions.

The Java/Python Database Developer will develop and maintain reference data applications, translating business requirements into technical solutions while collaborating with global teams.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The Senior Fullstack Developer will lead technical innovation, mentor junior developers, design software solutions, and improve team skills while ensuring high-quality product enhancements in a SaaS environment.

The Staff Backend Engineer will lead the development of core backend services, design scalable systems, mentor engineers, and engage with clients, focusing on creating robust APIs and data pipelines using Python.

As a Staff Full Stack Engineer, you'll lead technical direction, innovate across the tech stack, collaborate with clients, and mentor engineers to ensure best practices in a fast-paced startup environment.

Build and scale backend systems for a B2B SaaS platform, including data pipelines, AI agents, telemetry and document/data extraction; contribute to product direction, work with clients, champion best practices, and mentor team members.

Build and maintain the SaaS product, data pipelines, AI agents, and telemetry; contribute to product and tech strategy; work with customers; set engineering best practices and mentor teammates.