Top Machine Learning Jobs in Ottawa

The Staff Machine Learning Engineer will lead machine learning projects, mentor junior staff, advocate for data-driven practices, and collaborate across teams to improve product offerings.

The Technical Account Manager ensures technical success for Genesys customers, managing relationships, facilitating adoption of the Genesys platform, and providing solutions. The role involves collaborating with internal teams, leading operational reviews, and acting as a liaison for product management while addressing customer needs effectively.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

As Senior Product Manager, you'll lead AI innovation in financial advisory tools, collaborating with teams to enhance user experiences and product impact.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

As a Senior Machine Learning Engineer, you'll design and develop AI systems, focusing on LLMs and improving agent performance while mentoring engineers.

Lead the Marketplace engineering team to enhance the renter experience by developing scalable systems, managing teams, and collaborating with cross-functional stakeholders to drive product strategy.

As Engineering Manager for the Marketplace team, lead full-stack engineers, drive strategic vision, manage team processes, and enhance user experience using AI and ML innovations.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

As an Enterprise Product Marketing Manager, you'll craft narratives for AI agents, develop executive content, and communicate value to enterprise clients.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

As a Senior Product Manager, you will own product outcomes, develop roadmaps, translate market insights into action, and navigate technical complexities in a startup environment.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Forward Deployed Engineer, you will implement, optimize, and deploy AI solutions, closely collaborating with enterprise clients to deliver results.

The Staff Applied AI Scientist develops AI and machine learning systems for cybersecurity, managing the full lifecycle of language models and ensuring production-grade performance.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

As Staff Product Manager for the AI Platform, you'll define the vision and roadmap, establish execution methods, and collaborate across teams to ensure safe and efficient AI operations in a scalable enterprise platform.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.