Top Machine Learning Jobs in Ottawa

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Design, deploy, and improve ML models to prevent fraud and enhance platform security. Collaborate with teams to respond to risks and develop scalable solutions.

The Manager, Field Engineering will lead a team of Solutions Architects, driving customer success with Databricks' data and AI technologies while collaborating with Sales and enhancing team culture.

The Product Owner will translate strategic goals into user stories, manage the development backlog, facilitate agile ceremonies, and ensure feature quality for the product roadmap.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

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.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

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

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

Lead the design and deployment of scalable ML and data pipelines. Collaborate across teams, optimize infrastructure, and mentor engineers.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

As a Solutions Engineer, you'll lead client technical engagements, scope solutions with the Sales team, demonstrate value of AI, and ensure customer satisfaction.

The role involves provisioning and testing Ciena's solutions, developing documentation, leading technical sessions, and customer engagement to ensure product readiness and enhancements.

The Field Application Engineer provides technical support for electronic and automation products, collaborates with sales teams, delivers training, and ensures customer satisfaction.

The Machine Learning Manager will set the vision and strategy for the Auto-Bidding team, develop and optimize recommendation systems, mentor the team, collaborate cross-functionally, and drive continuous improvement in performance and model quality.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

As a Machine Learning Engineer, you will develop and implement machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers.

Designs and develops predictive models for analyzing insurance claims. Involves data preparation, feature development, NLP/ML modeling, and communicating insights to stakeholders.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.