AI Technologist

Remote

Information

Be part of a creative and innovative technology team creating an Edge AI platform for the industry. We aim to make AI development accessible to all software developers by providing intuitive workflows and tools to quickly build and deploy applications across the Edge and hybrid Cloud. The ideal candidate is a key technical leader defining AI workflows and tools to aid with AI application development and deployment. This includes architecting new solutions as well as bringing existing tools together into a cohesive solution. The candidate possesses a deep understanding of AI technologies, edge and cloud computing, and the tools and practices essential for integrating AI into business solutions. Responsibilities: Design and develop innovative AI application development and deployment tools to address leading customer use cases. Simplify the process of building and deploying an AI application, from model selection and fine-tuning, optimization and benchmarking, application development in a no/low/pro code environment, packaging and deployment in edge and hybrid cloud environments. Document AI use cases, business and technical solutions, and overarching technology concepts Translate emerging technology trends and insights into easy to use tools for application development and enterprise deployment. Partner with engineering teams to conceptualize, implement, and refine AI workflows.
Company
INTEL
Requirements
Qualifications 10+ years professional experience in software engineering Bachelor's or master's degree in Computer Science, Engineering, or a related field Proficiency in cloud or edge-native orchestration tools and platforms Experience with MLOPs and enterprise deployment Familiarity with AI frameworks like TensorFlow and PyTorch, and with programming languages like Javascript and C#. Experience making the complex simple. Experience with UX design and practice Experience building developer tools in an edge-native or cloud-native context Experience designing and building AI applications System level understanding of AI with demonstrated technical skills spanning software, algorithms, libraries, frameworks and development tools Excellent communication skills to synthesize and create clear key messages backed by data Growth mindset and ability to thrive in ambiguity Demonstrated track record of leading within sophisticated organizations requiring strong influence leadership skills at all levels

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