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Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Demonstrated expertise in one or more areas of data management, data science, and/or data engineering.
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Master's degree or PhD in computer science, data science, systems engineering, software engineering, engineering, or information systems. We are in search of candidates with a robust background in both data engineering and data management, coupled with an unwavering commitment to harnessing data for informed decision-making and critical mission processes.
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BRMi is seeking a Senior Data Scientist to provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences.
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The Oracle Government Defense & Intelligence (GDI) Cloud Adoption Engineer position, a member of the Cloud Solution Engineering job family, is a highly visible and influential individual contributor role.
$137,900 - $232,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks. 5+ years of experience with artificial intelligence, data science, ML engineering, data research, or data analytics.
$125,600 - $285,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP) Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS.
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Data Techniques: Advanced knowledge of techniques like dimension reduction, natural language processing, sentiment analysis, anomaly detection, and geospatial analytics. Data Concepts: Familiarity with data engineering, ETL tools, data mapping, data integration, data governance, and data warehousing.
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A certification such as Red Hat Certified Engineer, Puppet Certified Professional, AWS Certified Solution Architect, Certified Kubernetes Administrator (CKA), or Docker Certified Associate (DCA.
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AWS Certifications, for example AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate. Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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Integrate and leverage open-source tools to efficiently orchestrate complex digital signal processing algorithms, comprehensively visualize processing results and system configuration, and or aggregate processing results for further innovative analysis and data discovery.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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We are looking for a Senior Manager with a passion for all things Data Engineering that has the wisdom and know-how to build a truly world-class scalable solution. Be a hands-on technical addition to the data engineering team responsible for solutions in the Enterprise Data Platform that meet organization data, analytics and reporting needs.
$122,000 - $187,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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