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AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities. + AI/ML Expertise: Experience in applying machine learning algorithms and artificial intelligence techniques in data processing and analytics.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. Machine Learning Frameworks: Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
$238,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Company Specialties:Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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5+ years of professional experience in software engineering or data engineering, with a keen interest in moving towards machine learning. As a Data Engineer at Resonate, you'll be an integral member of our Engineering team with a unique opportunity to explore and transition into machine learning technologies.
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Technical background with machine learning, deep learning, open-source software, Data Scientists (Big Data Developer) Artificial Intelligence/Machine Learning Developers.
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From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
$296,208 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Big Data platforms such as Snowflake, ADLS, Databricks, Cosmos DB. The AIML Platform team is seeking talented senior to principal-level engineers to join our team with a focus on building a machine learning platform to support Machine Learning Development Lifecycle.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more.
$30,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Understanding of artificial intelligence and machine learning disciplines (statistics, data science, big data, deep learning, computer vision) is a plus. Our specially selected team of engineers, software developers and scientists develop algorithms, software integrated prototypes and solutions for Artificial Intelligence, Machine Learning, Manned and Unmanned Aerial Vehicles, Mission Planning, and Situational Awareness.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with the big data ecosystem, including AWS, Hadoop, Scala, Spark, Hive, and Kafka. Familiarity with machine learning frameworks like TensorFlow and Sci-kit Learn.
$168,200 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with advanced analytics, Big Data, statistical modeling, or machine learning. Cloud Architecture, Software Development, or DevSecOps Certifications. AI Cloud Engineer.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. Experience with big data, distributed systems, cloud platforms (Hadoop, AWS, Spark, Kafka, etc.
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We are looking for a senior software engineer to create distributed systems and platforms to transform and model data, and create tools and machine learning pipelines to make machine learning, statistical and econometrics models run faster.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning software engineer big data jobs in Arlington, VA
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