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As ABSC's next TS/SCI-cleared Data Center Manager Engineer, you will play a critical role in the design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Zachary Piper Solutions is seeking a Mid- level Cyber Engineer to support a defense contract.
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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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Deep understanding of marine systems, ocean systems engineering, including machinery, electrical, HVAC, propulsion, mission systems, underwater cable deployment and other shipboard systems. We are seeking a Senior Engineering Manager (SEM) Marine Engineer - to support our Navy customer in Washington, DC.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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Experience overseeing, developing, managing, researching and/or using relevant aspects of AI, data science, applied machine learning, large language models, generative AI, ethics, and/or digital health in domestic or global health contexts.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Process data and information as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with ML technologies. Experience using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobile.
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Using a Premium Audit selection model, the team can predict the likelihood of policy misclassification, automatically assign audit methods to save carriers time and money, and use machine learning to continuously improve correlation and prediction accuracy.
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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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Experience with infrastructure-as-code (IaC) tools (Deployment Manager, Terraform) and configuration management tools (Ansible, Chef, Puppet). Automate cloud infrastructure provisioning and management using infrastructure-as-code (IaC) tools like GCP Deployment Manager and Terraform.
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Conduct configuration, deployment, troubleshooting, and maintenance of various versions of RedHat Linux OSs. Conduct configuration, deployment, troubleshooting, and maintenance of various versions of Microsoft Windows OSs.
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deployment machine learning jobs Title: platform engineer Company: Fast Enterprises in Falls Church, VA
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