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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. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
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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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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Job Description: Prescient Edge is seeking a Senior Data Scientist to support federal government clients. As a Senior Data Scientist, you will: Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success.
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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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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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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Familiarity with Python packages relating to machine learning and text processing, including pandas, NLTK, or SpaCY. Formal education in data science, computational linguistics, and/or computer programming.
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Familiarity with linguistics and foreign language concepts, including morphology, orthography, and semantics, and computational approaches to modelling them. 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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machine learning natural language processing cutting edge data mining jobs Title: data scientist in Washington, DC
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