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R , Python ) • Data Integration, Data Security on Hadoop ecosystem. 5 +years experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, sqoop, Impala , spark, flume, kafka and oozie.
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We are recruiting a Machine Learning Engineer for a major energy trader (energy / renewables). - Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning.
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Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL. Work in a highly collaborative environment with data scientists, machine learning scientists, remote sensing scientists, HPC engineers, and geographers to deliver research and development prototypes.
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Strong technical capabilities in data or machine learning. Open to: Machine Learning Engineer, Software Engineer (machine learning), Applied Scientist, Research Scientist.
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Thousands of organizations worldwide - including Comcast, Cond Nast, Nationwide and H&M - rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
$182,400 - $247,000InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
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Excited about working with fintech, blockchain, machine learning, and data science products. Integrate machine learning models (both real time and offline) to our systems for ever evolving intelligence on possible bad behavior.
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Working with a faculty adviser, the postdoctoral fellow will conduct specialized research in one or more areas of Atmospheric Science, including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing.
$59,000 - $70,000 depends on experienceFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of work experience in data science, machine learning or analytics roles. As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices. The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. Exposure to Artificial Intelligence and Machine Learning is a plus Why Join.
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Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.
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We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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hadoop kafka data science machine learning jobs Company: Cardlytics
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