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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Explore the capabilities of Azure's LLM offerings, such as Azure OpenAI Service, to enhance data analysis, natural language processing, and knowledge extraction. The ideal candidate will possess a strong background in data science, machine learning, and the ability to leverage Azure's managed services and large language models (LLMs) to deliver innovative solutions.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Utilize Databricks for big data processing and streaming analytics. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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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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Advanced knowledge of techniques like dimension reduction, natural language processing, sentiment analysis, anomaly detection, and geospatial analytics. Leverage a broad set of modern technologies - including Python, R, and Spark to analyze and gain insights within large data sets.
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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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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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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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Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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big data mining natural language processing a plus jobs in Arlington, VA
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