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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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Natural language processing (NLP) and Text mining. Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science.
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Proficiency in scripting languages, such as Python or Java; Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform; Understanding of machine learning and natural language processing techniques; Experience with interfacing Knowledge Graphs with Large Language Models; Familiarity with data visualization tools and techniques.
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Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
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Experience using natural language processing (NLP), including large language models (LLMs), to extract insights from text data. utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from text.
$72,100 - $175,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Combined we have over 20,000 multidisciplinary professionals worldwide collaborating daily to protect and conserve natural landscapes, create firm foundations for communities to stand on, and champion sustainable development to combat climate change.
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Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture. Site Reliability Engineers leverage their experience as software and systems engineers to ensure applications onboarded to SRE are available, have full stack observability, introduce continuous improvement through code and automation, provide operational insight through analytics, continuously test, are integrated with CI/D and work with application teams to ensure products and service we provide are always on.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Language skills and cultural knowledge, specifically in Arabic, Bosnian, Chinese, Farsi, Russian, Somali, Uzbek, Korean or another language are highly sought after by the FBI. Use your linguistics and language background to become an FBI Special Agent.
$97,300 - $125,543 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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machine learning natural language processing jobs Title: analytics in New York, Fernley, Nevada
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