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this role may not directly control resources. Ability to foster collaboration and resolve conflicts across diverse stakeholder groups. Deep understanding of business processes and IT alignment, with
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learning environment strongly preferred Record of scholarly or applied work in engineering education, curriculum innovation, or related fields is a plus Technical Knowledge & Skills: Deep understanding
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software engineering, data science, artificial intelligence, machine learning, cybersecurity, IT, and adjacent fields including media, arts, architecture and gaming. As a core member of the Career Education
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development, model hosting, deep learning, LLM fine-tuning experience (e.g., with huggingface transformers and parameter-efficient methods such as LoRA/QLoRA), model evaluation experience. (Please briefly
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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experiential learning innovations related to AI, including industry projects in and out of the classroom, professional practicums, co-op education placements, and research opportunities. The Director develops
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, sustainable energy, and adjacent engineering and innovation disciplines. As a core member of the Career Education Center's sector-based advising team, this role brings deep, current knowledge of the engineering
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experimental design. Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting. Familiarity with deep learning concepts and modern
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not directly control resources. Ability to foster collaboration and resolve conflicts across diverse stakeholder groups. Deep understanding of business processes and IT alignment, with the ability
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learning systems, among others. Successful candidates will be responsible team players and passionate about machine learning technologies, as well as possess a deep understanding of machine learning