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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Deep knowledge and experience of managing, orchestrating, and monitoring distributed production systems.
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Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). 10+ years of relevant experience in research and development of machine learning systems and algorithms including 3+ years leading teams in search domain.
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Drive technical innovation through active research and application of state of the art machine learning and algorithmic technologies. SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Deep understanding and extensive practical experience with SoTA techniques from natural language processing, machine learning, deep learning, and prompt engineering.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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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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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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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value; Using natural language understanding (NLU) and sentiment analysis.
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Experience with Natural Language Processing (NLP) algorithms, tools, customer/employee survey analyses, segment analysis and pattern detection, etc. We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML) based solutions.
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Specialized Knowledge: Expertise in specific AI domains such as natural language processing, computer vision, or deep learning. Julia, MATLAB, Scala, LISP, Prolog, and JavaScript for various AI/ML applications, including data analysis, high-performance computing, enterprise-level applications, and web-based MLExperience with AI and machine learning frameworks (, TensorFlow, PyTorch, Scikit-learn.
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Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
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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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machine learning natural language processing open source deep jobs Title: research associate in New York, NY
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