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Responsibilities: AI and Machine Learning Integration: Design, develop, and implement AI-driven solutions to automate and enhance business processes, including predictive analytics, natural language processing, and machine learning models.
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Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
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Experienced in managing research or engineering teams in Machine Learning, Natural Language Processing, or related fields. Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (RESUME) 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.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$75 an hourFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, RESUME, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Abile Group has an exciting and challenging opportunity for a Machine Learning Engineer on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences.
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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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AECOM’s Buildings + Places practice includes architecture, interiors, building engineering, workplace strategy, business transformation, asset advisory, economics and development planning, master planning, urban planning, and landscape architecture.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
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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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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale.
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