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As a Machine Learning Engineer at INflow Federal, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Bachelors or Masters Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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The First Assistant Superintendent is responsible for golf course maintenance operations and staff under the leadership of the Golf Course Superintendent to ensure the healthy growth of the golf course and clubhouse grounds, grasses, trees, wetlands, and other plant materials.
$65,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, GenAI, self-serve analytics to the Enterprise Risk portfolio.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Experience in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Work on topics in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Research, prototype and deploy data products using the modernized platform that will integrate the latest advances in data engineering, visualization, Artificial Intelligence and Machine Learning.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Provide strategic and operational leadership development and organizational change management expertise to ensure effective planning, design, development, implementation, review, evaluation, and continuous improvement of NGA's Leadership and Supervisory Learning Solutions Program.
$144,115 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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