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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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Experience with data science / machine learning algorithms and tools (R, Python, or other development tools) required. Independently conducts advanced, complex analyses of internal and external client or industry data sources and leads the development of statistical models and/or machine learning algorithms for analyzing and predicting client behavior, securities performance, risk or economic data.
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Master’s Degree in a relevant field (Psychology, Cognitive Science, Human Factors, Human Computer Interaction HCI, Human Machine Interaction HMI, Anthropology, Sociology. Proven ability to conduct various research techniques, such as ethnography, surveys, interviews, and advanced data analysis, to derive actionable insights for user experience design.
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Mentor and guide junior researchers and designers and foster a culture of continuous learning and knowledge sharing within the user experience design team. Leveraging your deep expertise in research methods and user experience design, develop and execute research strategies to uncover valuable insights into the wants, needs, and abilities of our customers and end users.
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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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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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The Department of Neurology at the Columbia University Irving Medical Center is looking for an experienced and energetic Clinical Research Coordinator I to work in Dr. Jose Gutierrez's lab in a neuroimaging, large-scale data processing, computational mechanics, and machine learning.
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You have successfully led one or more of the following Finance projects: process automation or standardization, operating model, process reinvention using RPA, Applied Intelligence, Machine Learning, or GenAI.
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Deep understanding and extensive practical experience with SoTA techniques from natural language processing, machine learning, deep learning, and prompt engineering.
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Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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In Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required). Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred.
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machine learning data natural processing deep computer jobs Company: Cadence in New York, NY
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