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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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The department’s research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, machine learning, nanoelectronics, power systems, signal processing, and space-based systems.
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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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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Internally develop and deploy software, leveraging open-source technologies, machine learning, and data transformation. Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, GenAI, self-serve analytics to the Enterprise Risk portfolio.
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One or more AWS Certifications: AWS Solution Architect Associate, AWS Database Specialty, AWS SysOps Administrator - Associate, AWS Machine Learning Specialty. AWS Machine Learning.
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We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and MLflow.
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Train machine learning (ML) models for the creation of MT and natural language processing (NLP) models. Improves artificial intelligence/machine learning (AI/ML) tools and other applications in the client’s work environment, such as machine translation, speech or text recognition, input methods, keyboard/swipe technology, advancing searching, and other areas of human-machine interactions related to languages.
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SMSD supports all aspects of advanced remote sensing system development: designing and assessing the performance of optics and electro-optical focal plane arrays, modeling the end-to-end sensing system, developing innovative data processing and computer vision algorithms, and producing simulated data products for new applications.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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Director, Product & Engineering is a dynamic role responsible for equal parts vision and strategy, technical solution delivery, and leadership, coaching and growth of an equally dynamic product and software development team.
$246,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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We apply advanced analytic techniques such as longitudinal analysis, large-scale integer programming, metaheuristics, agent-based modeling, reinforcement learning, predictive modeling, mathematical modeling, forecasting, machine learning, optimization, statistics, probability modeling, Bayesian analysis, and different types of simulation to solve the nation's toughest problems.
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Digital Signal Processing (DSP) Engineer. Bachelor’s degree in Engineering or related quantitative science field. Master’s degree in engineering or related quantitative science field.
$184,800 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
machine learning natural language processing data engineering solution jobs in Reston, VA
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