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Curate and deploy centralized versions of state-of-the-art foundational models and specialized models in specific domain areas, such as DoD lexicon-specific Natural Language Processing (NLP) models.
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Experience with deep learning, natural language processing, computer vision, or reinforcement learning. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
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Broad understanding of Natural Language Processing and Machine Learning concepts related to enhanced unstructured data processing is preferred. A minimum of 3 years’ experience in a Solutions Architect role for US Federal Government bids and proposals.
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We're looking for a Principal Data Scientist to support a program which leverages Natural Language Processing for analysis. Data Science : Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience with Natural Language Processing (NLP), computational linguistics, Entity extraction, named entity recognition (NER), name matching, disambiguation,). Familiarity with RESTful APIs, web scraping, and processing unstructured data.
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Robust experience with Python, Anaconda, Jupyter Notebooks, Pandas/Geopandas, or similar scripting tools, libraries, and IDEs in support of data processing and integration, geospatial analysis, natural language processing, text-to-table extraction, and network graph theory.
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As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
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The Loyalty Tech Lead will bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design and mobile.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Knowledge of Natural Language Processing (NLP) and experience implementing standard NLP methodologies such as TF-IDF or FastText.
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Demonstrated experience with AI/ML, such as natural language processing in a production environment. Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data.
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B.S. in Computer Science, Systems Engineering, Management, or other related or equivalent experience. Sketch technical concepts at the whiteboard in a room of both business and technical participants.
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Demonstrated experience with natural language processing tools and techniques. Bachelor's degree in a relevant field (Computer Science, Economics, Mathematics, Statistics, Computer Engineering, Electrical Engineering, 20 Bioinformatics) or equivalent relevant experience.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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