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Experience with machine learning and data science workflows on Databricks. Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark.
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Support data scientists by provisioning and managing infrastructure like GPU VMs for machine learning and Azure Databricks. Engineer and deploy end-to-end big data solutions on Azure using technologies like Spark, Logic Apps, Function Apps, Databricks, and Azure Kubernetes Containers.
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Immediate, long term contract opportunity for a Senior Data Infrastructure Engineer who will responsible for orchestrating, deploying, maintaining and scaling cloud AND/OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance.
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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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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Machine Learning / Analytic packages (H2O, Palantir, or comparable machine learning/analytic package) Databases (Oracle, Sybase, MySQL, Big data technologies like Hadoop and Spark, or similar database technologies.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Site Reliability Engineer-DevOps Cloud professional on our team in Reston, VA. This contract was awarded in 2022 with three more option years ahead.
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What You'll Do Perform Gap analysis and methodologies to identify the implications of artificial intelligence and machine learning for the future of warfare, and the specific defense and security applications (e.g., intelligence analysis, command and control, targeting, autonomous systems, information operations, training and simulation) where AI will be most impactful.
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5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing. We are looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, our cutting edge AI/Client Platform.
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As a Quantitative Analyst 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 cloud 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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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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We are looking for Software Engineers (Applications) to join the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
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big learning jobs Title: machine engineer in Reston, VA
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