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CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Experience with Enterprise Data Governance, Big Data Solutions, Master data management, Data Privacy and Security, Machine Learning, and Data Pipeline Operations.
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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.
$136,000 - $164,680 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Basic Qualifications: A Ph. D. in Materials Science, Chemistry, or related disciplines with a strong focus on machine learning applications to domain science A record of excellence in battery research and development as evidenced through peer-reviewed journal articles and/or issued patents.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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We are seeking a Principal Scientist to propel our data science, helping to build world-class platform capabilities in analytics and machine learning supporting biological discovery and drug development programs.
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To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts.
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Experience working in Data engineering and ETL teams and on managing implementation projects that utilize big data, advanced analytics and machine learning technologies. Data Visualization Solutions: MS Power BI, Looker, Tableau, Azure Streaming Analytics, Data Lake Analytics, Azure Time Series Insights, Azure Synapse Analytics.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI. Versioning control tools, Git, Gitlab, CICD tools, Dockers and Kubernetes Knowledge of data science, machine learning & deep learning models and expertise in statistics Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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The role will be at the center of a state-of-the art circuit design effort, interfacing with all disciplines and have a critical impact on getting products to market quickly. Prior experience and proven success of successfully designing high performance SRAM memories, Register file memories, SRAM compilers, data path designs and standard cells.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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The Internet BDC Director will oversee the Business Development Center (BDC) operations across multiple rooftops. Internet Sales Director. Hire, train, motivate, counsel, and monitor performance of Internet /BDC Sales representatives.
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internet machine learning data center jobs Title: intern
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