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Ability to demonstrate an Interagency Language Roundtable (IRL) Language Skill Level or Defense Language Proficiency Test (DLPT) rating of 3 or higher in listening, reading, and speaking for one or more of the following languages: Arabic, Russian, Farsi, and French, Dari, Pashto, Chinese Mandarin, Tagolog, Somali.
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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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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Working knowledge of the Print Control Language (PCL) This resource will work with Tax Information Technology Quality Management (ITQM) team to assist IRMS system development and VITA/Unisy Batch processing operation teams.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence). Bachelor's degree in a computer, engineering, or quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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Requirement will involve developing and maintaining decisioning workflows using AWS Step Functions, writing Python scripts for data processing, designing and implementing architecture frameworks, and ensuring seamless integration with other AWS cloud services.
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3+ years of Experience with Apache Spark, Kafka, Pig, Oozie, Flume, and Streaming and similar distributed computing technologies. Minimum of 10 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration.
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5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. ML, Gen AI, NLP, LLM Model Design and Development: Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
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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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Keyword(s): Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Natural Language Processing. Experience in natural language processing and understanding large language models (such as GPTs, Llama, Gemini, etc.
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Experience in machine learning, deep learning, neural networks, cognitive computing, natural language processing, computer vision, or other fields of AI. We've built a team of creators, innovators, entrepreneurs, and leaders to unlock endless possibility for our customers and partners with the power of OCI. We are now seeking an excellent AI Field Cloud Sales Representative to identify, progress, and close business within our Artificial Intelligence vertical.
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Experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures. knowledge of NLP techniques, including tokenization, language modeling, and embeddings.
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The Sr. Manager, Medicaid Contract Administration is responsible for managing the Medicaid rebate team in receiving, processing, validating, trouble-shooting Medicaid claims and dispute resolution with state agencies.
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8+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.
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language processing jobs in Richmond, VA
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