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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Collaborate with Hardware and Firmware Engineers to optimize and implement next-generation control algorithms.
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Utilizes Open-Source Intelligence (OSINT) collection methodologies to supplement CI/HUMINT efforts. Familiarity with Open-Source Intelligence (OSINT) collection techniques.
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Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries. Must have strong DS design knowledge and has experience in some Machine Learning /Ops/DevOps.
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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. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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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. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Find novel solutions for conducting open source exploitation in order to identify areas of operational efficiencies for the open source intelligence program. We at Leidos are seeking you, our next Russian OSINT Specialist to provide collection and exploitation of publicly-available information (PAI.
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The Women’s Center at Bay Area, with its neonatal intensive care unit (NICU), is also the home of our graduate medical education program, providing the best learning experience for the next generation of medical residents.
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The University of Southern California's Leonard D. Schaeffer Center for Health Policy and Economics is now accepting applications for one or more Postdoctoral Fellowships in health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and pharmacovigilance.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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The Assistant Director may also be required to perform wet lab assays including library preparation for next generation sequencing, single cell, and spatial genomics. The preferred candidates will have a strong understanding of next generation sequencing and single cell genomics technologies, with previous experience in a core facility or service-oriented environment and ability to work in a Linux command line environment a plus.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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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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