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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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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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You will join a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to build cutting edge software solutions to address fundamental risk management issues.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Basic Computer Skills - Using basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.
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Bachelor’s in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5 years of experience in machine learning engineering or related roles, with experience mentoring junior developers and leading projects.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields.
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Bachelor’s degree in computer science, Engineering, or any STEM degree. Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc.
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Education : 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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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. Degree or equivalent demonstrated experience in a technical field such as Computer Science, Engineering, Math, GIS.
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Bachelor's Degree in Computer Science or related field and have at least eight (8) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment.
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Responsibilities: Utilize expertise in Civil Engineering to accurately estimate project costs for Heavy Highway and Road construction ventures. Proficiency in construction estimation software (e.g., HCSS HeavyBid, B2W Estimate) and Microsoft Office Suite.
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SIE-3 Qualifications: Bachelor's Degree in Computer Science or related field and have at least eight (8) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment.
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Bachelor’s degree in computer science, engineering, or related field, or equivalent professional experience. This position reports to the Vice President, Software Engineering and allows you to work remotely.
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software engineering computer science machine learning jobs Title: engineer backend software in Annapolis, MD
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