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Advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics is required. We are encouraging applicants with strong research background in data science, machine learning, or natural language processing with a focus on biomedical applications.
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We have openings for receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including the Center for Deep Learning , Center for Engineering and Health , Optimization and Statistical Learning in IEMS, and Center for Engineering Sustainability and Resilience , Institute for Data, Econometrics, Algorithms, and Learning , Institute on Complex Systems , Transportation Center in the McCormick School of Engineering.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
$309,400 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Our cloud-based products integrate advanced machine learning and user behavior analytics, supported by a team of cyber experts. Drive sales of Autonomous SOC, Managed SIEM, Managed Endpoint Detection and Response (EDR), and Counterintelligence (CI) services within a fully managed Security Operations Center (SOC.
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Experience with cloud-based deployment of IBM ODM. Knowledge of predictive analytics and machine learning integration. Job Title: IIB ODM Developer Client Name: United Airlines Location: Houston, TX & Chicago IL Work Mode: Hybrid Duration: Long-Term Contract Top 5 Skills IBM ODM Proficiency: In-depth knowledge and experience with IBM Operational Decision Manager, including Rule Execution Server and Decision Center.
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Areas of research interest within the Department include image-guided radiation therapy, adaptive radiotherapy, motion management techniques, applications of machine learning/artificial intelligence and radiobiological modeling.
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ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.
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Gain understanding of data flow, data transformation, machine learning and more. First-class fitness center with sauna and walking trails. Paid Internship - Summer 2025. Real work, real training, real growth as a 2025 DevOps Engineer Intern.
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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. As a Call Center Supervisor, Collections, your primary responsibility is to oversee the day to day functions of a team of representatives.
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Ideal candidates will also have familiarity with one of the following areas: network science, nonlinear dynamics, statistical physics, data science, machine learning, and/or the application of interest.
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