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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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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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As a CNC Machine Operator (also known as CNC Grinder, Tool Grinder), you'll be working in a fast-paced, high-speed environment. Proficiency in machine setups for production runs, blueprint reading, quality inspection, and shop math skills.
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Support the Army’s sensor-to-shooter campaign of learning to develop new GEOINT Concepts of Operation (CONOPS), Tactics, Techniques, and Procedures (TTPs), and Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) architectures, and integrate Artificial Intelligence/Machine Learning (AI/MI), where appropriate.
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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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Knowledge of legal technology such as document assembly, robotic process automation, AI, machine learning, and predictive coding. In particular, experience should include business low-code projects, data visualization, solution design, consulting and/or client-facing roles.
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Examples of specialized experience include: Researching new and emerging technologies to utilize at an organization, such as artificial intelligence/machine learning, robotic process automation, use of alternative data, blockchain and distributed ledger, and digital assets, and how those technologies impact mortgage processes.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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As a member of the Americas IT Training Team as well as the Global IT Training team, the IT Trainer also partners with team colleagues across the Firm to develop and deliver value-add technical and IT-related learning experiences for the Firm. Domestic and International travel may occasionally be required (likely frequency can be discussed as part of the recruitment process.
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Work across the organization to develop and deploy key advocacy deliverables in collaboration with the following teams: (but not limited to) Learning and Evaluation Communications Academic Programs Community Programs Design and implement a student internship program focused on mental health policy and advocacy, including establishing partnerships with academic institutions and creating hands-on learning opportunities.
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The mission of UDC's (non-credit) division of Workforce Development and Lifelong Learning (UDC-WDLL) is to reduce unemployment and underemployment in the District of Columbia by enhancing the skills of its residents.
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Preferred Qualifications for the Cyber Engineer:·Experience with cloud security, including AWS, Azure, or GCP.·Knowledge of big data analytics, machine learning, and anomaly detection. Experience with CI/CD, IaC and CaC, ITIL, and IT Service Management.
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The GHD is seeking a Monitoring, Evaluation, Research, Learning, and Adapting (MERLA) Specialist for USAID’s Act to End Neglected Tropical Diseases (NTDs) | East Program (), a global flagship initiative that has supported 13 countries working to control and eliminate neglected tropical diseases.
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machine learning jobs Company: Consulting in Washington, Bar-harbor, Maine
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