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7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
$82,100 - $172,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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You'll mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the DoD make informed decisions.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Knowledge of data management practices across the full data life cycle, such as data strategy, requirements, design and development, data science, data governance, metadata management, data quality, business intelligence, and data security & privacy.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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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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Experience in data mining or machine learning using tools such as Hadoop, Spark and/or Tensorflow etc. Learn and gain a deep understanding of PIG/Oozie/Storm/Spark/Tensorflow, data extraction, model training, evaluation, and serving etc.
$105,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work on the development and deployment of APIs and microservices to support machine learning models and data pipelines. Collaborate with data scientists and ML engineers to integrate machine learning models into production software systems.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$70 - $80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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In addition to the geology course work included in the degree, it must also have included or been supplemented by 20 additional semester hours in any combination of mathematics, physics, chemistry, biological science, structural, chemical, civil, mining or petroleum engineering, computer science, planetary geology, comparative planetology, geophysics, meteorology, hydrology, oceanography, physical geography, marine geology, and cartography.
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machine learning data mining jobs Title: machine learning in Reston, VA
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