Top AI Jobs in Ottawa

The AI Solutions Architect will lead the design and implementation of AI-driven IT systems, focusing on automation, security, and scalability. This role involves collaboration across departments, driving AI initiatives, and optimizing IT processes with cutting-edge technologies.

The Head of Product will lead the AIVM initiative, translating company vision into product strategy and managing the product lifecycle from development to market launch, with a focus on AI and blockchain integration.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

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 training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The Senior AI Platform Engineer will define AI feature specs, own end-to-end AI delivery, and build production-grade AI applications on AWS, utilizing Java, TypeScript, and Python.

As a Full-Stack Software Developer, you will build AI systems, design low-code AI agent solutions, and integrate AI functionalities across the platform. Responsibilities include developing GraphQL APIs and reusable AI components while collaborating with design teams.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

Lead the development and execution of internal AI solutions, prioritize features, define product requirements, and communicate across teams to measure impact.

The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.

The Senior AI Engineer will design, build, and ship AI-powered product features, integrating LLMs and automating workflows to enhance security insights and user experience.

Lead AI product initiatives from concept to production, define architecture, collaborate with product leadership, and improve AI workflows.

Develop and extend a graph compiler for the MAX Framework, set technical direction, mentor engineers, and optimize performance across hardware platforms.

As a Senior AI Kernel Engineer, you will design and optimize high-performance kernels for AI inference on GPUs and custom accelerators, improving performance and collaborating with various teams to influence architecture and implementation.

The AI Program Manager & Developer will lead AI initiatives, develop custom GPTs, oversee implementation in customer support, and drive strategy alignment with AI governance and business objectives.

The Regional Sales Manager leads revenue strategy for AI Native across Western US, managing a team of 8 Account Executives, and driving regional performance, pipeline generation, and strategic growth.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.