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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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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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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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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Technical Acumen: Strong understanding of machine learning, natural language processing (NLP), and other AI-related technologies. Implement machine learning algorithms to personalize marketing messages, enhancing customer engagement and conversion rates.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. “Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group.
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Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT) New York State Licensed X-Ray Technologist by the Department of Health. Certified MRI Technologist - Part Time - Weekend Days.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Strong background in Machine Learning, Deep Learning, NLP, LLMs, and Transformers.
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Lead/Senior Machine Learning Engineer or Data Scientist (Computer Vision) Lead the development of computer vision and machine learning projects from start to finish.
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Advanced analytics models, building machine learning algorithms (using Random Forest, SVM, Deep Learning and similar techniques) or Blockchain development and application. Big data, machine learning and AI techniques using one or combination of the following tools: TensorFlow, Theano, Torch, Keras.
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Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, scRNseq, CRISPR and genotypic data using current state of the art technologies.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department and HPI.MS are seeking outstanding candidates for early- and mid-career positions with an excellent track record in computer science, artificial intelligence, and machine learning to join its faculty.
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machine learning data natural processing deep computer jobs Company: Nike in New York, NY
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