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Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.
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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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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus. Develop AI-based systems for Natural Language Processing (NLP) Build on top of Open Source Large Language Models to leverage a diverse dataset.
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Familiarity with GenAI, NLP (Natural Language Processing) Develop APIs & Batch Processing with technologies such as Python, Flask, Java, Spring, MSSQL, Snowflake in an Azure infrastructure.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience with Boolean logic, natural language processing, social media analytics, data correlation, and data visualizations. Find novel solutions for conducting open source exploitation in order to identify areas of operational efficiencies for the open source intelligence program.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning. Overview: We are seeking a skilled and innovative Natural Language Processing (NLP) Engineer to join our team.
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Research on threats such as APT using Open-Source Intelligence (Virus Total, Web, ExploitDB, MITRE, etc.) Java and/or Kotlin programming language. Ability to read, comprehend, and analyze source code.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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Fields such as Mail Processor, administrative, general office, accountant, administrative assistant, auditor, bookkeeper, office assistant, secretary, staff assistant, typist, etc. To allow a better understanding of the Postal Service Mail Processor position, the following is a brief description.
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open source natural language processing jobs Company: Capital One in Enfield, Connecticut
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