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The Applied Research Laboratory for Intelligence & Security ( ARLIS ) – a University Affiliated Research Center ( UARC ) under the UMD Vice President of Research ( VPR ) seeks to hire a Natural Language Processing ( NLP ) and Data Scientist.
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Knowledge of machine learning techniques for computer vision, and natural language processing. You'll directly engage with all stages of data processing, analysis, indexing, prototyping, and benchmarking of user-facing analytic applications.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Integrated voice response (IVR) for speech recognition and introduction of natural language processing (NLP) for intelligent automation. This role is critical for accelerating end-end life insurance processing and the companys industry leading position by bringing incremental sales and servicing related software changes to market.
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Preferred Skills 5+ years in a data engineering role with demonstrable experience with Cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, and automating machine learning components.
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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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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Cloud experience (Clusters, Databricks, iquery, Teradata Native Object Store, AWS S3, GovCloud, Python, Jupiter.
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Experience with IBM AI Fairness 360 (AIF360) - preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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Our client is seeking a Technical Product Owner to help drive the tactical execution of a Natural Language Processing (NLP) Data Infrastructure for the Department of Veteran's Affairs.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Tenure Track Assistant Professor Position in Data Science Applied to Population Health, Health Syste
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Candidates should have a PhD, ScD, DrPH, MD, or comparable degree in computer science or a closely relevant field with advanced training and experience in artificial intelligence (AI), machine learning (ML), or Natural Language Processing (NLP.
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Knowledge and experience of emerging technologies such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), UI/UX, Python, and business intelligence tools such as Tableau.
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General Description The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning.
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Algorithm Development: Lead the design, development, and implementation of advanced AI algorithms to address complex challenges across various domains, such as computer vision, natural language processing, and recommendation systems.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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natural language processing jobs in Rosedale, MD
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