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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Turn unstructured data into useful information through natural language processing methods and other related approaches.
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Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
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Skills Required: Requires experience in the following: Cloud Services such as AWS or Azure; Docker; JSON; UNIX; Microservices; REST; Shell Scripting; GIT; Infrastructure Architecture Disciplines; Kubernetes; Python; SOAP and REST web services; Hadoop; Linux; Software Development; SQL; Cybersecurity; system design and architecture; machine learning; artificial intelligence; and data science.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
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Work with business owners, product managers and other stakeholders to determine and refine objectives for AI, Machine Learning (ML) and analytic processing solutions to address business problems.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in advanced analytics using machine learning, data mining, and natural language processing, preferred. Maintains and continuously develops critical skills by attending training programs, associated conferences, and continued education in advanced analytics, software development, cloud computing, and machine learning.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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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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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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machine learning natural language processing engineer data jobs Company: Veradigm
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