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and adaptation by leveraging advanced AI technology such as the foundation and Generative AI models, LLM, RAG, NLP, CV, etc. SIT invites applications for the position of Research Engineer at the SIT
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businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP
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communication skills and teamwork spirit Familiarity with NLP is preferred. Should be comfortable using machine learning and deep learning approaches to recommender systems and NLP. More Information Location
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the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands-on skills in Python-based AI/ML frameworks, specifically LangChain, LlamaIndex, TensorFlow, PyTorch, Keras, and scikit-learn
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the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands-on skills in Python-based AI/ML frameworks, specifically LangChain, LlamaIndex, TensorFlow, PyTorch, Keras, and scikit-learn
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undertake research in computer vision, NLP, and machine learning To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
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algorithms for multilingual and multimodal deep learning systems for NLP. Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system. The research should lead to
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motives in political communications. Key Responsibilities: Content coding of implicit motives from text data Establishment and refinement of a training database for our machine learning/NLP classifier
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solutions cover computer vision, NLP and general ML, such as object detection for autonomous vehicles, question-answering AI for education chatbots, and fraud detection for insurance. We are expanding our
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areas such as NLP, imaging, speech, etc. • Proficient with Python and AI related frameworks (such as scikit-learn, tensorflow, pytorch, etc.) • Knowledge in machine learning platform and services from