Top AI Jobs in Ottawa

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing the development of ML solutions to improve customer experiences. Responsibilities include team management, collaboration with product leads, and direct contribution to strategic plans while staying updated on industry trends in AI.

The Staff Machine Learning Engineer will build and evaluate large-scale machine learning systems, collaborate with scientists, and mentor others in software engineering best practices.

As a Principal Machine Learning Engineer, you'll implement machine learning algorithms, collaborate with teams, design model architectures and guide ML engineers to enhance AI functionalities across Atlassian products.

As a Staff Data Architect Engineer, you'll collaborate with teams to architect, build, maintain, and optimize data models and services for contract lifecycle management software.

Outlier seeks Math Experts to evaluate AI outputs, craft questions, and assess relevance. Flexible, remote freelance position.

The Senior Solution Architect at Snowflake will lead technical migration projects, develop ETL workflows, and optimize cloud solutions while ensuring customer success.

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.

Lead technical initiatives and design LLM-powered features, mentoring engineers and improving processes to enhance user experience in AI-powered products.

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

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

As an AI Research Engineer, you will build and evaluate AI-driven code generation systems, improve workflows, and collaborate with teams to enhance product efficiency.

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

As an Applied AI Engineer, you will develop autonomous AI systems for logistics, integrate multi-agent systems, and implement advanced reasoning and monitoring capabilities.

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

The Applied AI Engineer Intern will design multi-agent AI systems and develop advanced reasoning capabilities to transform logistics operations using AI technologies.