Top AI Jobs in Ottawa

Develop and maintain software for Ericsson's Radio product portfolio, including design, implementation, testing, and integration tasks.

Lead the government affairs strategy in Canada, engaging with policymakers and industry stakeholders to influence technology policy in AI and cybersecurity.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

As a Co-op student, you will develop AI applications for Ericsson's 5G RAN, focusing on test management and integration of AI agents.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

As a Talent Acquisition AI Automation Lead, you'll drive automation in recruiting processes, enhance team efficiency, and implement AI-driven workflows to improve candidate engagement and sourcing. You'll collaborate with the TA team and stakeholders to create innovative solutions that streamline hiring.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

The role involves building production-grade agent systems, designing scalable backend services, and collaborating with engineering teams on AI tools and blockchain technology.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

The role involves leading the vision and execution of Zapier’s AI Capabilities team, overseeing the development of AI platform infrastructure, collaborating cross-functionally, and translating AI capabilities into user-facing components.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

The Procurement Manager will develop and execute procurement strategies, negotiate with suppliers, manage procurement processes, and utilize advanced technologies like Ariba to enhance efficiency.

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

The Senior AI Operations Product Manager will define AI product strategy, manage the product roadmap, translate business needs into technical requirements, and guide agile development processes for AI solutions at Motive.

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.