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As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Black Canyon Consulting (BCC) is searching for QA Platform Engineer (DevOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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The ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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Experience with machine learning architecture and neural network design and implementation, utilizing tools such as Tensorflow and/or Pytorch. Utilize machine learning (ML) algorithms in order to tackle challenging IRCM & MWR problems.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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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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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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The Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data.
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Other technologies: Apache Kafka, Elastic Stack, Apache NiFi, GDB, Valgrind, Apache JMeter, Artifactory/Nexus, CSS Preprocessors, Nginx, HAProxy, Glowroot, Drupal 7. · Move and support applications, data, and dependencies to AWS Cloud and update and integrate workflows and products accordingly.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Ii) develop of machine learning and computational discovery methods for public health research. Prepare datasets for analysis, and conduct data analysis using standard and advanced scripting skills under supervision of senior staff.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Knowledge of major cloud platforms (Azure/ Amazon Web Services [AWS]), virtualization, networking devices (e.g., routers and switches), web services (e.g., IIS, Apache Tomcat), network security appliances (e.g., firewalls, VPNs), databases (e.g., Microsoft SQL), and intrusion prevention/ anti-malware software.
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machine learning apache spark jobs Title: senior data engineer in Chevy Chase, MD
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