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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Senior Machine Learning Engineer (Stoneridge, Inc., Novi, MI): On behalf of an automotive electronic product design and production company and reporting to the VP Fleet Products & Services, will work primarily within the Electronics division and will be responsible for collecting, processing, and developing predictive models in the logistics and transportation vertical.
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A PhD (or equivalent experience) from Mechanical Engineering, Aerospace Engineering, Computer Science, Chemical Engineering, or Electrical Engineering with a focus on Control Theory and Applications, Robotics, Mechatronics, Machine Learning, or Data Analytics.
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
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Master's or PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, signal processing, or machine learning. Expertise in programming languages and tools critical for high-performance computing and machine learning, including C.
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A Research Scientist at Numerica should possess an M.S. or Ph. D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
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Innovate in the field of remote sensing, applying machine learning to process and analyze satellite imagery for Earth observation, planetary science, and resource mapping. A Master’s or PhD in Computer Science, Aerospace Engineering, Astrophysics, or a related field.
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Master’s, or Ph. D. degree in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on machine learning or artificial intelligence. as well as proficiency in relevant machine learning frameworks (e.g., TensorFlow, PyTorch.
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Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.
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