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This role involves preparing and prosecuting patents related to advanced technologies such as image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
$200Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Natural Language Processing (NLP) Applicants Who Apply Will Work Within Both Live, As-is Development, As Well As Research And Development Environments To Build, Develop, And Finetune, a Custom, Government-specific Language Processing Tool. Day To Day Activities Include.
$126,610 - $215,270 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications. Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
$121,900 - $203,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. - Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency.
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In this role, you will evaluate and apply new lidar and associated technologies, such as new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, among others.
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Data Engineering experience focused on batch and streaming data pipelines development, Data processing/data transformation using ETL tools. Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support requirements officers in the development, review, editing and routing of correspondence, documents and publications of strategies and concept papers and/or briefs related to IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities.
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AI and NLP Knowledge: Deep understanding of artificial intelligence, machine learning, and natural language processing. You will leverage your expertise in machine learning, deep learning, and natural language processing to tackle complex challenges and contribute to cutting-edge projects.
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We offer a hybrid work environment, a flexible work schedule, an excellent benefits program, generous employer medical contributions, professional education opportunities, competitive compensation, a standard full-time 35-hour work week, and a people-focused culture with genuine support inside and outside of work.
$90,000 - $120,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
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General familiarity with one or more of: natural language processing, transformer architectures, machine vision (object detection, facial recognition), one-shot learning, reinforcement.
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Skills: Experience in cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, and sonar systems. If you’re a whiz with cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, or sonar systems, you’re exactly who we need.
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Optimize the performance of big data processing tasks and analytics jobs. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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big data full time natural language processing jobs in Chevy Chase, MD
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