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 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.

Join an expert annotation team to create training data for AI models. Evaluate AI-generated code, solve coding problems, and write test cases. Requires 3+ years in software engineering, mainly using Python.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

The role involves collaboration with customer teams on AI use cases, enhancing product capabilities, and working on self-learning algorithms.

The role involves developing and implementing automation solutions for scalable, reliable, secure software deployments. Responsibilities include managing CI/CD pipelines, tooling, and documentation while collaborating across teams.

Design and develop backend systems for large-scale AI workflows. Enhance data infrastructure, drive engineering excellence, and mentor junior engineers.

The Full Stack AI Software Engineer will propose product features with LLMs, improve code quality, and collaborate with various teams to enhance product delivery.

The role involves deploying machine learning models for real-time inference, developing APIs, optimizing inference systems, and ensuring their reliability.

The role focuses on optimizing and accelerating machine learning models for embedded hardware, involving custom kernel development and collaboration with engineers.