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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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Support the Army’s sensor-to-shooter campaign of learning to develop new GEOINT Concepts of Operation (CONOPS), Tactics, Techniques, and Procedures (TTPs), and Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) architectures, and integrate Artificial Intelligence/Machine Learning (AI/MI), where appropriate.
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Examples of specialized experience include: Researching new and emerging technologies to utilize at an organization, such as artificial intelligence/machine learning, robotic process automation, use of alternative data, blockchain and distributed ledger, and digital assets, and how those technologies impact mortgage processes.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Strong knowledge of deep learning and generative artificial intelligence. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP) Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast.
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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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The application will also provide capabilities for global collaboration and use artificial intelligence/machine learning to generate intelligence recommendations. This crucial role involves leading a team to design and develop a client engagement and mobile intelligence delivery application on iOS and Android devices to replace a legacy solution.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Experience with machine learning and artificial intelligence applications in robotics. Experience with ML, computer vision, and deep learning algorithm. Experience with machine learning and artificial intelligence applications in robotics.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Familiarity with Machine Learning / Artificial Intelligence concepts is highly desired. Metronome’s range of benefits include, but are not limited to, Medical, Vision & Dental Insurance, Life Insurance, Paid Time-Off & Company Paid Holidays, Personal Development & Learning Opportunities.
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Desired studies in Artificial Intelligence, Machine Learning and Deep Learning. Proficiency in AI technologies, machine learning, and data integration.
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Above Green is looking for a summer intern who has an interest in environmental science, computer science, and artificial intelligence primarily to support our team with the development of an internal machine learning application that will streamline the consulting process for our sustainable materials practice.
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machine learning artificial intelligence jobs in Washington, Bar-harbor, Maine
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