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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Methods include machine learning, deep learning, statistical and rule-based models, and other data analytics techniques to generate actionable insights from time-series machine sensor data, other telematics data, fluids analysis, and machine inspection and service records.
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Rang Technologies has grown to become a global leader in Analytics, Data Science, Artificial Intelligence, Machine Learning, Salesforce CRM, Cloud, DevOps, Internet of Things - IoT, Cybersecurity, IT Consulting and Staffing, and Corporate Training.
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Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies.
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SUPER UNIQUE - you'll get to work with :Data analytics, Machine Learning, and Reporting. For immediate and confidential consideration on this Permanent / Direct hire IT opportunity for a Data Scientist / Database Analytics Developer, please email me directly, Carrie Danger, SVP, Permanent Placement, Iowa Region - call at , and e-mail resume confidentially.
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Develop and implement comprehensive data strategies to enhance predictive analytics, data mining, and machine learning models that drive payment accuracy and recovery initiatives. Lead the development and execution of advanced analytics solutions, including artificial intelligence (AI) and machine learning (ML) models, to detect and prevent improper payments, fraud, and waste.
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Your role is to provide needed technical knowledge in the areas of Predictive Analytics, AI/ML, Deep Learning Robotic Process Automation and Edge Computing to develop algorithms, support modeling and simulation efforts and provide data analytic skills to conduct a variety of analytical projects.
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Machine Learning (ML), Predictive Analytics, Neural Networks, Reinforcement Learning. Dice is the leading career destination for tech experts at every stage of their careers.
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Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives. Work closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Technical Skills: Strong abilities in machine learning, deep learning, natural language processing, and data analytics. 3+ years of shown experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Experience with GPU-accelerated software, Docker, machine learning, deep learning, and computer vision models. Big Data Wrangler: Utilize big data analytics tools to assess risks and identify patterns in large, diverse datasets.
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KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research.
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Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, AWS Sagemaker, or SAS. Experience with web analytics tools and implementation - Adobe Analytics (formerly Omniture Site Catalyst), Google Analytics, IBM Digital Analytics (formerly Coremetrics), Webtrends.
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Cyber Electronics Warfare & Space (CEWS) is hiring an Information Systems Security Engineer (ISSE) in the Charleston, SC area to assist in providing Defensive Cyberspace Operations (DCO) analytics across U.S. Navy networks to achieve detection-in-depth for maritime forces afloat and ashore.
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learning analytics jobs Company: Dice in MD, Missouri
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