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You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
$188,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences.
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We are seeking individuals passionate in areas such as deep learning, computer vision and multi-media, audio and speech processing, natural language processing, personalization and recommendations, machine learning, reinforcement learning, computational statistics, and applied mathematics.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in photogrammetry, remote sensing, image processing, or regional expertise is also desirable. Proficiency with ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Databricks Data Engineer Location: Richardson, TX (Remote) Duration: 6 Months Technology Requirements: SQL GCP AWS Years Experience: 10 years of experience as a Software Engineer or related role.
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Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles. Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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You will be familiar with the ecosystem of software vendors in the AI/ML space, in areas such as Natural Language Processing (NLP), classification modeling, unsupervised learning, generative AI and image recognition as well as be able to operate in Python data science environments.
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Internally develop and deploy software, leveraging open-source technologies, machine learning, and data transformation. Director, Software Engineering will lead our Risk Management Tech teams through their transformational journey, building relationships to advise and partner with the Chief Enterprise Risk Officer of a Fortune 100 company, and their teams, along the way.
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Experience with digital cartography, image processing, computer technology, GIS software, geospatial production techniques, remote sensing, and photogrammetry. In-depth expertise and experience in GEOINT image processing techniques and phenomenology for overhead collection systems (EO, IR, SAR, and other ISR platform sources.
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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. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission, and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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