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AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities. + AI/ML Expertise: Experience in applying machine learning algorithms and artificial intelligence techniques in data processing and analytics.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Cation processes and FAA Safety Risk Management and system safety processes, implementation of Machine Learning and Artificial Intelligence program or equivalent combination of education/experience.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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Six (6) years of specific successful BD and/or capture within the DoD and/or Federal/Civilian Agencies in any of the NexGen IT areas including but not limited to: DevOps/DevSecOps, cloud infrastructure and apps development/migration, and Artificial Intelligence (AI)/Machine Learning (ML); successful BD and/or Capture experience must include Performing Long Term Positioning and Opportunity Assessment (as defined by Shipley Associates.
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Collaborate with the full MSI project team to ensure timely, high-quality deliverables, including but not limited to TPM reports, data quality assessments, and client presentations. The Afghanistan's Monitoring, Evaluation, and Learning Activity project (AMELA) is a USAID activity designed to capitalize designed to capitalize on the experience derived from past projects (both USAID and non-USAID), programs, and policies to contribute to improvements in project or program performance and promote organizational learning.
$62,000 - $69,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We operate through five global businesses: Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals; and Manufacturing & Technology. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets.
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Experience with machine learning and neural network frameworks on GPUs in Linux. Basic knowledge of deep learning frameworks and algorithms. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. Job Description As a Data Scientist Senior Technical Specialist, some of your duties will include: Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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Assess advanced data analytic techniques, to include artificial intelligence (AI) and machine learning (ML), applied to both tactical edge and central processing architectures, to identify objects, patterns of interest, and anomalies in surveillance sensor data.
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2+ years of experience with artifi cia l intelligence, data science, machine learning engineering, data or software engineering research, full stack engineering, or data analytics, including in a professional or academic environment.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Reporting to the Senior Mine Geologist at Agnew, you will be responsible for providing quality geology services and working collaboratively with the broader Mining Team to maximise return from the operation.
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2+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$72,200 - $147,900 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data mining jobs Title: machine learning scientist in Falls Church, VA
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