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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. 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.
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Proclinical is seeking a dedicated Scientist with a focus on machine learning and protein engineering for a senior position. The ideal candidate will be a pivotal part of the cross-functional teams, leading machine learning-based protein design initiatives and contributing to the development of lead drug candidates.
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Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success.
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The Department seeks to fill positions primarily in Artificial Intelligence, Machine Learning, and Quantum Computing, but exceptional candidates in all areas, including but not limited to Computational Biology, Computer Graphics and AR/VR, Computer Systems, Computer Vision, Cybersecurity, Data Sciences, Databases, Human-Computer Interaction, Programming Languages, Software Engineering, Theoretical Computer Science, etc., will be considered.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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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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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Bachelor's Degree in Geography or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Drafting or Construction related field.
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Bachelors of Science in Polymer Engineering, Chemistry with a concentration of polymer coursework or equivalent degree with focused thesis/coursework/project experience in engineering mechanics or machine design issues is required.
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Advanced degree (MS) in a relevant field (analytics, math, statistics, computer science, management information systems, social sciences, engineering, physics, decision science, or business, etc.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree.
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An Associate of Science (A.S.) or Bachelor of Science (B.S.) degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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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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machine learning computer science image processing a plus jobs in Bethesda, MD
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