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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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Amazon Web Services is seeking an dedicated Machine Learning Engineer that can combine open source technologies such as Spark, Hadoop and Presto, as well as AWS services like DynamoDB, Kinesis, Elastic Map Reduce and Redshift to build the next generation of our analytics and data orchestration platform.
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Knowledge of data mining, machine learning, data visualization and statistical modeling. The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Css, db2, etl, hadoop, information technology, information technology infrastructure library, machine learning, shell, website. Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Basic familiarity with databases and use of SQL Data Science, Data Analytics, Artificial Intelligence, Machine Learning Company Overview Serco Inc. (Serco) is the Americas division of Serco Group, plc.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Collaborate with the full MSI project team to ensure timely, high-quality deliverables, including but not limited to TPM reports, data quality assessments, and client presentations. The Afghanistan's Monitoring, Evaluation, and Learning Activity project (AMELA) is a USAID activity designed to capitalize designed to capitalize on the experience derived from past projects (both USAID and non-USAID), programs, and policies to contribute to improvements in project or program performance and promote organizational learning.
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The Preschool Assistant Teacher will work closely with the Lead Teacher in developing and implementing an engaging and stimulating learning environment for preschool-aged children. Title Assistant Teacher, Marymount Early Learning Academy (ELA) Direct Supervisor Director, Early Learning Academy Status Full-Time, Exempt Grade 8 Job Profile 00241 Division Academic Affairs No. Direct Reports TBD Target Weekly Hours 40 Location 2807 N Glebe Road, Arlington, VA Benefits Eligibility Yes JOB SUMMARY Marymount University seeks experienced & passionate Assistant Preschool Teachers to join our team for the opening of the new Marymount Early Learning Academy (ELA) in September 2023.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Build and train Machine Learning models using Azure and Databricks technologies. 2+ years of experience in Azure Cloud technologies e.g., ML/OPS, ML Flow, Azure Data Factory, Azure Function, Data Bricks, Event Hub, Microservices/API, Python/PYSPARK/R, or SQL.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Work with large data sets to better understand the changing worldwide geopolitical and tactical level military landscape through the creation of automated collection models, dynamic analytic models, workflow automation, and any other automation processes and products as assigned.
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Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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Job Description Customer Service Computer Job - Work from Home Part Time Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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machine learning data mining jobs Company: Amazon Web Services Aws in Arlington, FL, Virginia
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