The role involves co-creating AI-driven business solutions using Foundation Models within a Client Engineering squad. The AI Engineer will contribute to developing and deploying AI systems tailored to solve real-world business challenges across various industries. The position requires collaboration with technical leaders and sales teams to facilitate rapid client delivery and product innovation. Success in this role is indicative of personal career growth, team achievements, and client satisfaction with IBM's offerings.
Required Qualifications and Skills The role requires a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field. Candidates should have strong programming skills in Python and familiarity with AI frameworks such as TensorFlow and PyTorch. Experience in designing AI solutions and exposure to Foundation Models or large language models is essential, along with excellent interpersonal skills and a commitment to ongoing learning. Proficiency in English and Spanish is required, while knowledge of Catalan is preferred.
IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.
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