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The Company has Bitcoin mining data center operations in central Texas and electrical switchgear engineering and fabrication operations in Denver, Colorado. Ensure the day-to-day operations of the facility or data centers, including custodial, engineering, site services, mining operations, electrical, and general maintenance, are implemented and conducted in a manner consistent with Riot policies and directives.
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Experience using a broad range of Microsoft software applications, marketing research tools, trends, data mining and technologies (e.g., Tableau, Power BI, Databricks, JMP, and SQL, etc.
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Must demonstrate knowledge and understanding of rock and sand mining, ready-mix concrete, and/or asphalt operations and equipment, MSHA regulations, engineering principles and procedures, and quality control systems and processes.
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Plan the daily operation scheduling of plant production to ensure optimal utilization of plant and equipment, personnel and inventory requirements, and work procedures in regards to stripping, mining, processing, stockpiling, loading and shipping.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. Experience with Qlik or other data visualization administration.
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When determining a candidate's compensation, we consider a number of factors, including skillset, experience, job scope, and current market data. Previous experience in supervising production employees preferably at either an aggregate, sand/gravel or asphalt plant preferred.
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Position Description: Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
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Committed to delivering a Higher Level of Reliability, Acuren provides an unrivaled spectrum of capabilities including inspection, traditional and advanced NDE/NDT, failure analysis, rope access, materials engineering, field engineering, reliability engineering, drones, robotics, V-Deck and condition-based monitoring services.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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Responsible for safely and efficiently operating various drills at a surface mining operation, drilling overburden, parting and coal in preparation for loading of holes with explosives. Current Wyoming blaster's certification in surface mining operations.
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Barr is seeking a senior-level mining hydrogeologist to help grow our team of professionals that deliver services to the mining industry in areas related to hydrogeologic characterization, water management, feasibility studies, environmental permitting, and mine reclamation.
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Five years of development experience with cloud services (e.g. AWS/Azure) utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event Hubs.
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