Top AI Jobs in Ottawa

The AI Architect will lead innovative AI projects, integrating advanced AI solutions, collaborating with teams, and guiding technical strategies while managing end-to-end deployment and scaling.

As a Senior Software Developer (AI), you will develop AI-powered solutions, implement MLOps for data reliability, and collaborate on scalable systems.

The AI Infrastructure Engineer II will design, build, and maintain cloud infrastructure for AI and ML workloads, utilizing tools such as AWS, Docker, and Kubernetes. Responsibilities include developing CI/CD pipelines and ensuring system performance.

The Senior AI/ML Engineer will design and maintain machine learning algorithms, collaborate with engineering teams, implement CI/CD pipelines, and develop RESTful APIs while advocating for team decisions in a regulated environment.

The Staff AI Infrastructure Engineer will design and maintain scalable cloud infrastructure for AI/ML, lead technical discussions, mentor juniors, and optimize deployment processes for operational efficiency.

Join WEX's AI Infrastructure team to design and maintain cloud infrastructure for AI solutions, using AWS, Azure, Docker, and Kubernetes, and gain hands-on experience in a collaborative environment.

As a Senior AI Infrastructure Engineer, you will design, implement, and maintain cloud infrastructure for AI/ML workloads, manage containerization and orchestration, optimize CI/CD pipelines, and mentor junior engineers.

As a Senior AI/ML Engineer, you'll design and maintain machine learning algorithms, collaborate on CI/CD, and integrate AI solutions within systems.

The role involves training AI language models by evaluating code, crafting computer science questions, and providing coding expertise in Polish.

As a Telerobotics Operator, you will operate robots, collect data, troubleshoot issues, and help improve AI systems in dynamic environments.

The Senior Full-Stack Engineer is responsible for building and maintaining platforms for AI training through front-end and back-end development, driving system performance, ensuring reliability, and collaborating with teams to enhance product capabilities.

Develop and enhance AI-driven discovery products by integrating various content sources, and optimize recommendation systems with machine learning models.

The AI Machine Learning Engineer will architect and build personalization models for user experience, involving DNN and LLM technologies, while collaborating with product managers to deliver high-quality outputs.

As a Full Stack Engineer on the AI Decisioning team, you will develop intuitive interfaces for non-technical users, integrating ML models and offering insights to enhance marketing strategies. You will collaborate with cross-functional teams to architect and build robust marketing products.

Lead customer engagement by guiding workshops and prototyping solutions. Provide technical leadership, problem-solving, and support while sharing insights to shape product evolution.

Build and implement a comprehensive post-training framework for large language models with a focus on scaling and integration into products.

The AI Decisioning Solutions Consultant educates enterprises on AI Decisioning benefits, scopes use cases, and manages the PoC process while showcasing custom demos.