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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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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components.
$81,800 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale.
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Deep expertise in one or more data science specialties, such as natural language processing, computer vision, or deep learning. + Develop models and solutions for problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, data visualization, and metrics creation.
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Proven track record in collecting and analyzing data from mobile applications, coupled with hands-on experience in developing and deploying machine learning models. Skilled in fine-tuning hyper-parameters of existing machine learning models to optimize performance for specific data domains.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
$121,900 - $203,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Minimum of 8 years of hands-on experience as a data quality engineer, imagery analyst, GIS analyst, or quality assurance engineer in the space of satellites, computer vision, or machine learning.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Prior experience developing data-intensive full stack containerized web applications using Node.js, Flask, Django, or other technologies. Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Job Description: Parsons is seeking motivated individuals dedicated to solving a full spectrum of signal processing challenges in Herndon, VA for SIGINT, EW, Radar, and Communications Systems.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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