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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling. 5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP.
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Experience in the use of Microsoft PowerPoint, Adobe Illustrator CS, Captivate, Storyline, Photoshop CS, InDesign, Premiere, Audition, Macromedia Flash, Visual Basic, 3D Studio Max, Learning Management Systems such as Blackboard or Moodle, preferred.
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Experience with cloud computing environments, including Databricks using Spark. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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Our integrated ESL-DL-Child Development adult education classes are taught either fully in-person or in a hybrid model with 3 days of class on Zoom. Briya offers a learning environment with a variety of technology available to enhance daily lessons and activities.
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Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? Experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments.
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The courses, learning activities, and resources provided to you in our pharmacy technician training program are designed to give you foundational and advanced knowledge, skills, and on-the-job experiences you need to prepare to become a certified pharmacy technician.
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Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Leidos has a current opening for a TS/SCI cleared Senior Software Engineer supporting our client's overall mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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The NAM Leadership Consortium (LC) Collaboration for a Learning Health System provides a trusted neutral venue for national leaders in health, health care, and biomedical science to work collaboratively toward their common commitment to a health system that rewards effectiveness, efficiency, equity, and continuous learning.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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learning spark jobs Company: Bain Company in Washington, DC
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