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About our Company - Canon Solutions America, Inc. empowers companies of all sizes to succeed by supplying market leading enterprise, production, and large format printing solutions, supported by exceptional professional service offerings.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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Company Overview About our Company - Canon Solutions America, Inc. empowers companies of all sizes to succeed by supplying market leading enterprise, production, and large format printing solutions, supported by exceptional professional service offerings.
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The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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The Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data. Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models.
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Game Day Activities: Facilitate various activities during Washington Spirit and D.C. United games, including community corners, banner making, musical instrument setup, on-screen appearances, poet-athlete engagement, and post-game ceremonies.
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With unwavering dedication to promote professional innovation, Canon Solutions America, Inc. helps drive sustainability, nurture efficiency, and regulate costs through the unification of comprehensive digital and traditional printing and document management solutions.
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The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of machine learning, statistics, and other advanced analytic techniques.
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Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning. Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning.
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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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. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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