Top Scala Jobs in Montreal

As a Machine Learning Engineer, you will lead ML projects, design solutions aligning with business needs, and collaborate across teams to deploy models into production while mentoring junior engineers.

Responsible for designing and implementing scalable geospatial database features, improving query capabilities, and collaborating with teams on technical solutions.

As a Director of Engineering, you will lead and grow an engineering team, manage product development processes, and ensure the delivery of consumer-facing SaaS products.

As a Senior Software Engineer, you will develop products for distributed systems, resolve technical issues, and drive innovations for system scalability and reliability.

The Senior ML Engineer will design, develop, and maintain AI/ML systems, mentor team members, and optimize model performance, collaborating with data teams.

As a Senior Machine Learning Engineer, design, develop, and maintain AI/ML systems. Responsibilities include tool integration, cloud management, performance optimization, mentorship, and collaboration with stakeholders.

As a Backend Engineer, you will architect and build systems for our platform, collaborating with a cross-functional team to enhance machine learning practices.

This role involves designing and developing data pipelines and tools to improve Stripe's Growth, Sales, and Marketing operations with a focus on data quality and analytics.

Design and develop scalable software solutions while collaborating with a team. Contribute to the full delivery lifecycle and maintain high code quality.

The Distinguished Data Architect will lead data platform architecture, collaborate on data models, implement data governance, and drive technical solutions to enhance performance and cost efficiency for Calix Cloud.

The Principal Data Engineer will lead the data platform's architecture, implement ML and AI capabilities, mentor teams, and collaborate with stakeholders to enhance data strategies.

As a Senior Java Developer, you'll build scalable cloud-native applications, design RESTful APIs, and collaborate on product requirements to deliver quality software.

Design and implement data pipelines, manage workflows, integrate APIs, and deliver reports. Collaborate with teams to enhance data quality and troubleshoot discrepancies.

The role involves architecting systems and data pipelines, collaborating on signal production, and ensuring effective signal delivery and adoption.

Lead the design and implementation of modern data platforms, collaborating with various teams to support analytics and AI use cases while ensuring data management and privacy.