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Job Number: R0203192 Data Scientist, Senior The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Keywords; Python, Azure, AWS, GCP, SSRS, SSIS, SQL Server, SQL, Scala, Mapping, Scientist, ML, Machine learning. Apply Continuous Integration/Continuous Delivery (CI/CD) and Machine Learning concepts to develop a standardized data environment.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Applies engineering principles and practices in design, development, analysis, and release of projects including but not limited to: Conveyor design (conventional flat belt & modular plastic belt) Auxiliary equipment design (discharge chutes, control stations, operator & machine platforms, etc.
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Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Baker Hughes Cordant Process Optimization solution is based on a novel approach that combines process domain knowledge along with advanced machine learning techniques. Minimum of 10 years of experience implementing Advanced Process Control (APC) and/or optimization solutions, including but not limited to DMCplus, DMC3, SMOC, PACE, RMPCT, Profit suite, ROMeo, or similar technologies within the process industry.
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Ideal candidate has knowledge in: Containerization, Cluster Administration, CI/CD Deployments, IAC’ed Bootstrap and Deployment ● Experience with Machine Learning Engineering (MLE); worked on deploying machine learning models and applications to Kubernete ● 6+ years working with AWS constructs, at least one major serverless application architecture/deployment.
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This individual will work on exciting design projects and emerging-tech engagements—the latter focusing on things like identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, augmented reality and digital transformation.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART. Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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machine job Company: Techflow in Washington, DC
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