Top AI Jobs in Ottawa

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The AI Application Developer will design and deliver AI-driven applications, develop AIOps solutions, analyze datasets, and optimize operational workflows. They will also validate AI/ML models and implement best practices for AI solution development.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The Director of Business Development will drive business opportunities for Vantage in the AI infrastructure ecosystem, managing relationships, and accelerating leasing velocity.

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.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and develop editor features, APIs, and tools to integrate AI into the Unity Editor, enhancing game development workflows and collaboration.

As a Senior Full Stack Engineer, you'll develop user-facing features and back-end infrastructure for AI agents, ensuring quality and scalability in a collaborative environment.

The Manager, Finance AI and FP&A oversees AI integration in finance, delivers FP&A support for retail, develops advanced financial models, and collaborates with senior leadership for data-driven decision-making.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

Lead the development and execution of AI-powered content strategies, optimize digital experiences, and guide client engagements in content strategy.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The AI Support Engineer will troubleshoot customer issues, escalate problems, document solutions, and contribute to product testing and automation.

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

Develop AI-powered workflows, conversational systems, and intelligent agents for construction planning. Collaborate with teams to optimize project automation.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

The Revenue Operations & GTM Systems Manager will manage tools and processes across Sales, Marketing, and Customer Success, focusing on automation and operational excellence using AI.

The Senior Staff AI Engineer will lead RL-driven AI systems architecture and development, mentor team members, and ensure robust integration into production systems.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.