Top Python Jobs in Montreal

Seeking a Senior Python Developer with over 7 years experience to design scalable applications focused on LLM-based AI solutions, emphasizing security and compliance.

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 Python Developer will work in a machine learning team to develop AI solutions, focusing on prompt engineering, Python development, and model evaluations while collaborating with clients and SMEs.

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

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.

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.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

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

The role involves designing and deploying AI applications, leading development projects, and mentoring engineers while collaborating with experts in a healthcare-focused environment.

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.

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.