Top AI Jobs in Toronto
Join CIBC's Application Engineering team to lead the development of AI & Generative AI systems using Python and other technologies. Design and deploy enterprise-scale projects involving cutting-edge AI technologies. Mentor developers, contribute to Agile processes, and foster a culture of continuous learning and improvement.
As a Senior PreSales Consultant Technology Architect at Hewlett Packard Enterprise, you will be responsible for architecting complex solutions that can be scaled and aligned with customers' business needs. You will participate in deep-dive discussions, counter competitive claims, monitor account pipeline, and mentor peers. This role entails staying updated on industry developments and contributing to technological innovations.
Data Raters needed to research and rate e-commerce data for AI technologies. Freelance opportunity with flexible hours and training support. Ideal for entry-level candidates with no prior experience. Focus on localization and linguistic proficiency. Join a global network to enhance user experiences through language skills.
Forward Deployed AI Engineers work directly with end customers owning strategy and implementation. Responsibilities include designing, implementing, and maintaining robust and scalable AI-driven solutions, working with large, complex codebases, and delivering measurable impact through AI solutions.
Seeking a Senior Frontend Engineer to design, integrate, and maintain UI and UX elements of AI solutions in a startup reimagining automation in supply chains. Must have 5+ years of industry experience.
AI GPU Performance Engineer responsible for optimizing high-performance AI kernels for GPUs, collaborating with teams to achieve state-of-the-art performance, and driving innovation in AI model deployment. Remote work available for candidates in the US or Canada.
Leverage xAI's models and algorithms to create delightful consumer products and experiences, scale to millions of users worldwide.
Responsible for architecting, building, and designing a data collection platform, iterating on new features, building end-to-end features, monitoring data quality issues, establishing best practices, ensuring platform security and scalability, and innovating to develop AI systems.
Designing and implementing evaluations for new capabilities, creating new data generation methods, experimenting with fine-tuning techniques, optimizing training data quality, innovating new ideas in AI systems.
Join Walmart's Content Relevancy team as a Principal Software Engineer. Architect and develop search solutions using technologies like Elastic Search and OpenAI. Lead large-scale projects, collaborate with cross-functional teams, and provide technical guidance. Work in an agile environment to enhance search products and improve processes. Help drive efficiency across Walmart globally.
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Join Autodesk as a Full Stack Software Developer working on generative AI tools for the AEC industry. Collaborate with AI Researchers, ML Engineers, and Software Architects to enhance customer workflows. Develop foundation models and participate in software design and testing.
Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.
The VP, Business Development role is responsible for leading relationships with key strategic accounts, and for cultivating relationships with key prospective accounts. This role will largely focus on our Data and AI vertical. The VP will ensure that all aspects of account work, from strategic development to execution, are exceeding client expectations.
Senior AI Engineer spearheading AI development for an education app targeting US students, delivering personalized learning experiences and enhancing educational outcomes. Lead AI model implementation, collaborate with teams, and ensure scalability and efficiency of AI systems.
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