Top AI Jobs in Ottawa

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 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.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

As an AI Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.

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.

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.

Join Welo Data to contribute to AI projects focusing on data annotation, evaluation, and enhancing AI models with culturally aware input. Fluency in French and comfort with digital tools are required.

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.

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 Director of AI will define the AI strategy, manage R&D efforts, and drive organizational adoption of AI in game development and operations. Responsibilities include setting priorities, leading cross-functional initiatives, and establishing metrics for success.

Lead product management for AI and automation, developing strategy and integrating with operations. Focus on customer value, team performance, and market impact.

The Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

As a Senior Backend Engineer, you will develop backend systems, optimize product flows, and handle AI modeling for text-to-speech applications.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

Develop and test methods for imitation and reinforcement learning on humanoid robots, designing robust policies for their locomotion and manipulation.

Design and implement AI Flywheel for continuous learning of autonomous trucks, manage distributed training pipelines, and ensure scalable AI infrastructure.

Contribute to drug discovery and chemistry simulation platform development, collaborate with R&D teams, and build infrastructure for simulation and data platforms.