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Familiarity with additional technologies like Qlik, Tableau, Micro-Services, Web-services, Chatbots, Machine Learning (ML)/deep learning, Natural Language Processing (NLP), Lucene/ElasticSearch.
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Design, develop, and evaluate large and complex models and advanced algorithms, with a particular focus on Natural Language Processing (NLP) and Large Language Model (LLM) development.
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Experience working with ML/AI products and techniques pertaining to natural language processing, such as optical character recognition, document classification, named entity recognition, machine translation, etc.
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Familiarity with Python packages relating to machine learning and text processing, including pandas, NLTK, or SpaCY. Familiarity with linguistics and foreign language concepts, including morphology, orthography, and semantics, and computational approaches to modelling them.
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Leidos National Security Sector is currently soliciting experienced Human Language Technology (HLT) Specialists in various languages to support the HLT initiatives of a Department of Defense (DoD) customer in the National Capital Region (NCR.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data.
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This position will be part of Facilities Engineering and Science Section who are committed to providing quality solid waste and recycling facilities for residents of King County while preserving and protecting the natural resources and communities.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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7 to 10 years' experience as a firmware engineer developing and implementing signal processing algorithms on large, dense, high-speed FPGAs (e.g., Xilinx, Altera) using VHDL or Verilog. Minimum 5 years' experience as a firmware engineer developing and implementing signal processing algorithms on large, dense, high-speed FPGAs (e.g., Xilinx, Altera) using VHDL or Verilog.
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machine learning natural language processing engineer jobs Company: Veradigm in Falls Church, VA
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