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5+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. You'll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with artificial intelligence, data science, ML engineering, data research, software engineering or data analytics. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with software and artificial intelligence projects. Knowledge of modern software design patterns, including microservice design or edge computing. Ability to work in deep learning, computer vision, NLP, or chatbot development.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. Dayton, OH is highly focused on the Space-based mission set with a heavy emphasis on sensor exploitation and analysis; Tampa, FL focuses on ‘art-of-the-possible’ analytics of all kinds with an emphasis on graph technologies, NLP, and wrangling complex data sets; and all forces converge at our headquarters in the Northern Virginia/Washington DC area where we host our tech events and support engineering and analytic missions across several IC and DOD agencies.
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Bachelor's degree in metallurgy, materials science/engineering, or similar is required. Data analysis, modeling, and visualization using R, Python, or similar software. This position will primarily support the Physical Metallurgy branch at the Naval Surface Warfare Center, Carderock Division and concentrate on investigations of Naval structural alloy systems, such as high-strength steel, aluminum, nickel aluminum bronze, and/or titanium alloys.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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We solve challenging problems across a wide range of industries, but our superpower is cloud-based geospatial data processing, remote sensing, and Earth science systems. Strong experience with data engineering tools and technologies (SQL, NoSQL, DynamoDB, Postgres, Redshift, Athena, Glue, etc.
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Qualifications: Minimum of a bachelor’s degree in related field (examples include but are not limited to Data Science, Sustainability or Environmental Science, Engineering, Economics, Urban Planning, Public Policy, etc.
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Bachelor's or Master's degree in transportation, civil engineering, data science, electrical engineering, urban planning, or a related field. Use software such as Synchro/SimTraffic, Sidra, HCS, Vistro, Vissim, Visum, TransModeler and others effectively to make quick and accurate computations.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
$200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics. As a Cyberhill Engineer, you and your team will be responsible for developing and maintain data pipelines by Extracting, Transforming, and Loading data into data science compute environments, data layers, and standalone systems, and programmatically interface environments to datasets throughout the Customer organization.
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Fun stuff on the job you will do: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Knowledge of software development for publishing Data Science prototypes and applications is desirable (Docker, FastAPI, Javascript/Vue.js/React, Streamlit, etc.) A technical team within that Office brings together experts in statistics, data science, data engineering, economics and econometrics, and geography to support the mission of the Chief Statistician.
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software engineering data science jobs in Falls Church, VA
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