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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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Position Summary: Encompassing multiple domains across machine learning, engineering, and natural sciences, Research is committed to empowering real-world impact on some of the most pressing problems facing society including climate change, green energy, and sustainable materials.
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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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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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Spectrum Search is partnering with an innovative online application that revolutionises insurance claims processing by integrating intelligent data, workflows enhanced with legal expertise, machine learning, and natural language processing.
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Working under the supervision of the Director of Early Childhood Services, with support and additional learning opportunities provided by the Child First Learning Collaborative and CGC’s multi-disciplinary team of professionals, the Developmental Psychotherapist will work in a team with a Care Coordinator to provide intensive in-home therapy to families with children under 6.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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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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Oversees others in extracting data from existing databases or literature and preparing data for statistical machine learning analysis. The qualified candidate for this position will lead TSL Developmental Test & Evaluation (DT&E) projects, Internal Research and Development (IRaD) projects, and other company divisions with machine learning and artificial intelligence expertise.
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We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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They will work with NYCRD colleagues on enhanced phenotyping, including using the output of natural language processing and the GenomeDiver software to generate and have clinicians curate human phenotype ontology terms describing the patient.
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions leveraging traditional machine learning models as well as modern Generative AI and LLMs. These solutions will be both internal employee-facing and external customer-facing.
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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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