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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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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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They will support programs and pursuits in line with DSS's technology areas: precision weapons solutions, radar and fire control systems and modeling, multi-intelligence analytic and engineering support, space systems, active and passive surveillance software and hardware, intelligence community activities, counter-UAS, position, navigation, and timing (PNT), machine learning/artificial intelligence (ML/AI) and multi-domain solutions.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. HII Mission Technologies is seeking an experienced Senior Data Scientist to help support our customer in Fairfax, VA. This position will act as the leader in identifying ETL tools to be incorporated in a data science enclave and participate in implementing a cloud-based environment into that data enclave.
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Janes has recently developed a new product called Intara, using Artificial Intelligence and Machine Learning capabilities through cloud-based technology providing customers with a powerful tool to integrate and connect Janes data with other data sources and advanced technology programs within national security.
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Applying specific architecture and general knowledge, our data team answers to a variety of problems of moderate scope and complexity for the customer building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions.
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Analyze data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g., SAS, SPSS, and Oracle); build analytical solutions using programming languages (e.g., R, Python, SAS), and programming libraries (e.g., Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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Implementing prototype solutions in software, utilizing the latest data exploitation techniques (including machine learning techniques). Researching, designing, and implementing advanced signal processing and RF system concepts that yield new capabilities addressing urgent customer needs.
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Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a highly motivated technical leader with previous digital transformation experience delivering, managing, and selling innovative technical solutions in Application/Software Development, SaaS/PaaS Implementation, DevSecOps, Artificial Intelligence/Machine Learning (AI/Client), Robotic Process Automation (RPA), Cybersecurity and Privacy.
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Your primary responsibilities will be to contact varied personas for a variety of early and mature Start-ups to identify the value AWS can provide for a multitude of solutions including Generative AI, Data Analytics, Machine Learning and Modernization.
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Our digital offerings have helped our clients achieve operational excellence and customer delight by ‘Powering Human-Machine Collaboration. Facilitate learning and development through individual and team coaching.
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AWS is developing highly technical learning solutions using machine learning (ML) models and leading Generative AI (GenAI) solutions that get customers deep into AWS technologies.
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This includes participating in pre-sales on-site visits, understanding customer requirements, proposing and delivering packaged offerings, and delivering custom solution engagements, specifically focused on call center organization, processes, tooling and integration.
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A successful candidate will have demonstrated significant experience within several of the following areas: Navy and Air Force air domain platforms and tactics, command and control networks, anti-surface and anti-air weapon kill chains, electronic warfare, radar systems, modeling and simulation, advanced processing, artificial intelligence, machine learning, signal processing, sensor resource management and test & evaluation.
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