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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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A highly motivated data scientist, machine learning engineer, or experienced software engineer looking to transition into machine learning. 3+ years relevant applied experience in data science, machine learning, computer vision, or NLP (or very strong engineering skills and the ability to learn quickly.
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Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Headquartered in Southern California, CoolSys has more than 2,000 highly trained, field-based service and installation experts, serving more than 45,000 customer locations across North America daily.
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
$162,819 a yearRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI/ML solutions.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and Json. Knowledge of Machine Learning modeling and AI prompt engineering.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider.
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The post-doctoral fellow will apply physics, engineering, and advanced computational techniques, such as machine learning and data science, to provide technical subject matter expertise supporting the development of new studies, sensors, modeling and simulation, and algorithms.
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CACI is seeking a Machine Learning Engineer (Senior) to join our team to support our intelligence customer in Springfield, VA/St. Louis, MO. As a team, we will be responsible for developing and maintaining agency wide Platform as a Service (PaaS) capabilities deployed across multiple security domains utilizing Agile scrum methodologies.
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Basic understanding of Salesforce, Association Management Systems (AMS), and Learning Management Systems (LMS) preferred. Assist with other Learning & Practice team as well as Student Support department initiatives as needed.
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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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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Our work depends on a TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO. Deliver simple solutions to complex problems as a Machine Learning Engineer at Blackspoke.
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customer service machine learning jobs Title: program in Springfield, VA
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