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Two or more years with practical experience in developing natural language processing (NLP) and machine learning models. Stay up-to-date and share latest advancements in natural language processing, machine learning and educational technology.
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Good knowledge of neural network, deep learning and optimization theory; Experience with Natural Language Processing (NLP) and/or Generative AI. This individual will act as the technical lead and collaborate with quants, strategic investment professionals to learn, propose, prototype and ultimately deliver scalable and effective solutions using machine learning, artificial intelligence, graph learning and LLMs etc.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Experience building systems based on deep learning, natural language processing, computer vision, and/or generative models. Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow or JAX.
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning.
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Experience in natural language processing (NLP) and integrating chatbot agents into existing systems would be beneficial and is considered a plus. While not mandatory, we highly value candidates with expertise in machine learning (ML) and experience in developing custom chatbot agents.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Computer Vision, Large Language Models, and Generative AI.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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10+ years of experience in natural language processing, machine learning, or a related field. You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
$340,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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machine learning natural language processing jobs Title: senior data scientist Company: Logic20 20 Inc
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