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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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AND (5) Professional experience working or using tools such as: Regression Analysis, Statistical Analysis, Modeling, Machine Learning, Natural Language Processing, Time Series Forecasting, Data Visualization, TOAD, SAS, R, Python, Tableau, Power BI, and cloud analytics platforms sufficient to lead and conduct advanced analytics projects.
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Microsoft Azure, Databricks. Advanced skill in Python, SQL, and Data Querying (able to pull/transform data.
$46 an hourInternExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
$210,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Programming with SQL, Python and R. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems.
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Proactively integrate new technologies for more advanced analytics including and not limited to Power Flow, PowerApps, AI and Machine Learning. Power BI, Tableau, and SQL Reporting Services expertise preferred.
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Training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. electrical engineering, java, machine learning, processor, python.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
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Machine Learning Frameworks: Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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Are you looking for an opportunity to develop a data platform that will have an impact on rapid exploitation of the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence (AI.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The application will also provide capabilities for global collaboration and use artificial intelligence/machine learning to generate intelligence recommendations. Use back-end technologies such as SQL-lite Database, ElasticSearch, Solr, Structured Query Language (SQL), and Server-Side Languages (Java, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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