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Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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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Pearson VUE offers a great environment to start or grow your career, we are now hiring for a Part time Test Administrator to join our team in Reston, Virginia. Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses.
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We're seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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Research, prototype and deploy data products using the modernized platform that will integrate the latest advances in data engineering, visualization, Artificial Intelligence and Machine Learning.
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3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.
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Sercos Advanced Technologies Engineering Group is a rapidly growing team that develops a wide range of machine learning (ML) and artificial intelligence (AI) capabilities addressing our customers challenges in the areas of Natural Language Processing (NLP), Computer Vision, Data Fusion, Automation, and Operational AI for Command and Control.
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Completed coursework in the theory and applications of astrodynamics, remote sensing, spacecraft design, aerospace systems operations, computational fluid dynamics, machine learning, or complex systems integration is desired.
$131,000 - $219,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer III /Controls Engineer III (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
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Implement data migration, data integrity, data quality, metadata management, and data security functions, and apply advanced techniques such as machine learning to optimize data pipelines.
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Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems- Fluency in SQL and other programming languages.
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Data centers are experiencing once-in-a-generation demand growth, driven by cloud adoption and the AI revolution," Jon Gray, President & COO of Blackstone. Develops and maintains policies, procedures, Basis of Designs (BODs), and standards to ensure execution of Portfolio Physical Security strategies to include enforcement of business conduct and integrity standards, employee safety and security, investigations, crisis response, business continuity, and government partnerships across all QTS sites.
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