Top Machine Learning Jobs in Ottawa

As a Senior Machine Learning Engineer at Cash App, you will develop machine learning solutions for risk management and fraud mitigation, working collaboratively with cross-functional teams. You will utilize your expertise in machine learning algorithms and data analysis to enhance product offerings for a diverse customer base.

As a Staff Machine Learning Engineer for Cash App's Risk team, you will develop ML solutions to mitigate risk and fraud, collaborating with cross-functional teams. You will utilize a deep understanding of machine learning algorithms and data analysis techniques to enhance products and protect the customer experience.

As a Data Engineer at StackAdapt, you will design modular, scalable real-time data pipelines, implement custom machine learning algorithms, and work on microservice architectures for training and monitoring ML models. Collaboration with data scientists and engineers is key to solving complex data challenges in a rapidly evolving digital advertising space.

As a Senior Machine Learning Modeler, you will develop and implement statistical models using machine learning techniques to forecast business outcomes, collaborate across teams, and explore novel methodologies while effectively communicating results to senior leadership.

You will design, build, and maintain Machine Learning systems for identifying fraudulent activities. Collaborating closely with ML Modelers, you'll integrate new data sources and solve technical challenges across a global team. Your role involves owning solutions from design through operation while improving fraud detection capabilities.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Sr. Machine Learning Engineer, you'll innovate with cutting-edge machine learning technologies, build scalable ecosystems, and create backend microservices. You'll also maintain data pipelines, collaborate with teams, and emphasize coding quality in a flexible, agile environment.

As a Staff Software Engineer in Machine Learning Infrastructure at Thumbtack, you'll lead the technical vision for the company's ML platform. Responsibilities include defining architecture for scalable ML systems, establishing best practices, and mentoring engineering teams. You will work with cross-functional teams to align ML capabilities with business objectives.

In this role, you will design and develop AI systems, build scalable ML solutions for SaaS applications, collaborate with data scientists, and manage databases for model training. You'll participate in the lifecycle of ML model development, ensuring efficient deployment and integration into production environments while staying updated on ML technologies.

As a Senior Machine Learning Engineer, you will build the Cashbot, develop high-quality customer support experiences, and create modeling pipelines while collaborating with Product, Design, and Engineering teams. You will focus on improving chatbot functionality and mentoring other team members.

As the Director of Engineering for Machine Learning, you'll lead multiple teams to advance deep learning applications in robotics, manage large teams, and develop collaborative relationships to drive technical vision in autonomous driving.

As an AI Engineer at Kira Learning, you will enhance student learning by implementing AI features such as autograding and personalized experiences, collaborate with teams for product execution, and ensure code maintainability and documentation.

As the Director of Data Quality at Labelbox, you will lead a QA team, design and implement QA policies, apply advanced QC methods, and drive process improvements. You will analyze quality metrics, align QA objectives with business strategies, and represent QA in client meetings while ensuring compliance with industry standards.

As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems to augment patient care features. Responsibilities include building ML production systems, conducting evaluations, and collaborating with diverse teams to translate product needs into actionable ML solutions.

As a Senior Machine Learning Engineer, you will enhance AI systems for patient and physician features, develop evaluations for ML products, and mentor junior engineers. You will work with diverse teams to translate product intuition into impactful ML solutions, utilizing your expertise in ML/NLP and building production systems.

The Fractional CTO will focus on AI and lead projects related to machine learning and other AI technologies. Responsibilities include team management, AI model development and deployment, project scoping, and guiding startups through digital transformation.

The Machine Learning Researcher at Curai Health will advance medical applications of machine learning, contribute to research publications, and collaborate with experts in healthcare technology. Responsibilities include tackling complex healthcare data challenges and mentoring research interns.