Top Machine Learning Jobs in Calgary

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

The Lead Product Marketing Manager, AI will lead the market strategy for GitLab's AI capabilities, focusing on product positioning, go-to-market execution, and supporting AI tool adoption across the software development lifecycle.

The Staff Software Engineer will develop full-stack applications, lead projects, mentor teammates, and drive architectural discussions to enhance Toast's restaurant platform.

The Fraud Program Manager will enhance the fraud risk management program, develop monitoring metrics, manage anti-fraud policy updates, and collaborate across teams to ensure compliance and effectiveness in fraud prevention.

The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

Counsel on product and security issues, focusing on user privacy and data protection while collaborating with cross-functional teams and advising on compliance.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

The Machine Learning Software Developer will build and deploy AI systems, focusing on foundational models for clinical workflows and reporting enhancements, ensuring robust performance in regulated environments.

The Senior Manager, Credit Risk will design and execute credit risk strategies, lead a team, oversee collections, and ensure compliance with regulations. Key responsibilities include establishing risk policies, optimizing lending products, and building high-performing teams.

The Senior Customer Solutions Engineer will evaluate customer service requests, lead technical issue resolution, complete complex analyses, and mentor team members while collaborating across teams in the pipeline industry.

Lead data and AI transformation programs, build modern data platforms, and deliver solutions leveraging machine learning and AI for business growth.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

As a Senior Machine Learning Engineer, you'll lead ML initiatives to enhance player engagement, build scalable pipelines, and mentor engineering teams, ensuring optimized deployment and performance of ML solutions.

The Data Scientist will collect and preprocess data, deploy machine learning solutions, maintain models, and contribute to analytical projects while collaborating with peers and stakeholders.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The Account Executive is responsible for growing sales of Microsoft 3-cloud products, managing sales cycles from lead capture to closure, and building relationships with Microsoft account teams and clients.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

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.

Precision AI seeks enthusiastic individuals for spontaneous applications in engineering, operations, and business to revolutionize agriculture using drone technology.

The Cloud Inference Engineer is responsible for building and maintaining a scalable LLM inference platform, focusing on distributed systems and machine learning technologies while collaborating across teams to optimize performance.