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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences.
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AWS Certifications, for example AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate. Use Deep Learning frameworks like PyTorch and Tensorflow to help our customers build computer vision models.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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5+ years of hands-on experience in architecting and implementing AI solutions, with strong focus on machine learning, deep learning, and natural language processing. Leidos is looking for a full-time, senior level, AI Solutions Architect with broad based experience in AI and machine learning design, development, governance, policy, and application and integration to support strategic client requirements for AI development and integration into data collection, data analysis, and reporting.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application developm. Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and ML.
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Master`s Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field. Bachelor's Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field.
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Demonstrated experience with machine learning techniques including natural language processing. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise.
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Completed coursework in the theory and applications of astrodynamics, remote sensing, spacecraft design, aerospace systems operations, computational fluid dynamics, machine learning, or complex systems integration is desired.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Desired Skills and Experience Experience using Cameo Enterprise Architect (CEA) or Cameo Systems Modeler (CSM) Experience in military systems Knowledge of relevant domains such as aerospace or defense industries Geospatial data processing Curious and excited to learn new technologies Interested in maintaining and adapting complex systems An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and Agile methodologies.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, and statistics.
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CTL Engineering is hiring a Structural | Bridge Design Intern ( for Fall 2024 )! Currently pursuing a Bachelor’s or graduate degree in Civil Engineering, Structural Engineering, or a related field.
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Senior Systems Engineers guide engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability, and analysis across the NSG, ASG, and Federal Agencies to ensure timely and accurate GEOINT.
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The Solution Architect is an innovative technologist and problem-solver who will architect, design, and implement complex and often cutting-edge data and AI/ML solutions for a variety of environments and use cases.
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Six months documented mechanical experience in any COMBINATION of the following: Industrial equipment, compressors, pumps, electrical motors, controls circuitry, engines AND/OR Natural gas reciprocating/combustion/turbine engines AND/OR Related natural gas industry experience AND/OR Related military experience AND/OR the equivalent related education (technical school or college.
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