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Further support includes migration of MDA capabilities to the cloud, and the application of artificial intelligence/machine learning (AI/ML) tools to existing MDA data sets. Resolve highly complex technical issues on Oracle Cloud and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery.
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Knowledge of machine learning and AI concepts, with the ability to integrate these technologies into data solutions. , Azure Data Engineer, Azure Solutions Architect) is a plus.
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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The ETL data engineer will support the client Enterprise Data team for data curation, processing, and transformation tasks. Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow) Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Develops, standardizes and optimizes existing data workflow/pipelines adhering to best practices.
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Security +, CRISC, CISSP, CISM, CSA, AWS Cloud Practitioner, or AWS Certified Solutions Architect Associate Certification. Center 3 (19075), United States of America, McLean, VirginiaSenior Associate, Cyber Risk Manager Security is essential to what we do at Capital One, from protecting customer data to the associate experience.
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Experience applying artificial intelligence/machine learning algorithms to meteorological or oceanographic or environmental data. ERT is seeking an environmental scientist to support tasks at the Climate Prediction Center (CPC), part of the National Weather Service (NWS), National Centers for Environmental Prediction (NCEP), to develop post-processing and statistical algorithms, including AI, for enhancing U.S. CPC International Desk products.
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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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7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots.
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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Through this outreach the USFS is conducting a Skills Search for qualified candidates to serve as the FGTA. USFS anticipates the Advisor will have extensive experience in forestry activity monitoring and compliance, natural resource law enforcement and investigations, and/or regulatory and policy frameworks related to forest governance and sustainable natural resource management.
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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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Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models.
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Experience crafting and maintaining operational policies, standards and procedures related to managing information risk including privacy risk, cyber risk, identity and access management and data governance.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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machine learning data governance processing database architect jobs Title: data engineer in Washington, DC
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