Top AI Jobs in Ottawa

The Manager, Data and Analytics Engineer will develop and manage data infrastructure for Visier People Analytics, ensuring data quality and compliance across various business functions.

This role involves exploring advanced GenAI techniques, writing high-quality Python and Golang code, managing projects, mentoring teammates, and ensuring software system integrity.

Design and build AI-powered experiences for Dropbox, collaborating across teams to integrate AI features and simplify user processes. Engage in production delivery and on-call service.

The role involves designing and implementing AI-powered tools to improve developer productivity and code quality. The engineer will collaborate with other teams to drive adoption and evaluate new AI tools, while also operating on a global scale.

The role involves designing and building AI-powered experiences in Dropbox, collaborating across teams, and shipping features to enhance user interactions.

The role involves designing and developing automation systems using low-code/no-code platforms and AI, improving operations in real estate technology.

The Staff Machine Learning Engineer, Edge AI leads the development of embedded solutions, implements AI algorithms on edge devices, and influences the engineering culture, requiring strong expertise in multimedia frameworks and software development.

As a Staff AI Engineer, you'll design and implement AI systems, develop APIs, and mentor engineers, collaborating with teams for impactful automation in advertising.

As an Intermediate Backend Engineer, you'll enhance GitLab's AI capabilities using Ruby on Rails and Python, collaborating with other teams to improve the product and generate innovative solutions.

Lead and manage the Focal engineering team focused on AI-powered insights. Oversee software development, technical strategy, and ensure the platform's scalability and security.

The Generative AI Prompt Engineer will design prompts for AI to troubleshoot network issues, collaborate with experts, and implement AI workflows while utilizing advanced networking and AI techniques.

The Senior AI Engineer will develop AI-powered features, collaborate with cross-functional teams, ensure scalability, and mentor other engineers.

As a Senior AI Engineer at ClickUp, you'll architect and implement AI platform services, integrate large language models, and ensure performance and reliability in production environments.

The Staff AI Engineer will design and build scalable AI platforms, apply LLMs for product features, manage AI models, and ensure high performance and security of AI services.

Lead the development of AI-powered features, collaborate cross-functionally, ensure reliability in production, and mentor other engineers.

As a Senior Applied AI Engineer, design and implement autonomous multi-agent AI systems, focusing on logistics solutions that integrate with existing technologies.

The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Develop and implement predictive AI features to enhance user experiences, including natural language understanding and personalized AI agents for software development.

Lead AI initiatives by designing and developing AI-native solutions, collaborating across teams, mentoring, and driving scalable AI architectures.

The Senior Test Engineer will develop and implement test plans for AI features, automate testing, and collaborate across teams to ensure quality. They'll also lead AI/ML testing efforts and advocate for robust testing practices.

Lead technical design and implementation projects for generative AI, mentor engineers, and ensure scalable backend systems for AI solutions.

The Senior Full Stack Developer will build enterprise AI solutions, collaborate with teams, drive software best practices, and handle critical production issues.

Develop and maintain tools for automating workflows using AI. Collaborate to identify and solve operational challenges while managing projects that improve productivity.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.