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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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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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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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8+ years of expertise in various AI/ML techniques, such as deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, large language models, etc.
$147,300 - $282,800 a yearPart-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience or familiarity with a wide range of analytics techniques, such as statistics, simulation modeling, optimization, machine learning, or natural language processing.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Your focus is on Machine Learning, Natural Language Processing, Neural Networks, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI. What you get to do.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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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.
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As a Machine Learning Engineer on our team, you'll train, test, deploy, and maintain models that learn from data. Job Number: R0202679 Machine Learning Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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BACKGROUND The US Forest Service (USFS) is the principal domestic technical agency for forestry and natural resource management in the United States and the largest natural resource research institution in the world.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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machine learning natural language jobs Title: engineer software in Washington, DC
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