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Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data. Education: A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, Keras. Publication record in NLP, Machine Learning, Computer Vision or related areas preferred.
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Data science, machine learning, optimization models, PhD in Machine Learning, 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.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Master’s degree in Machine Learning, 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.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience conducting complex geospatial analyses utilizing ESRI’s ArcGIS Pro. Experience with or interest in learning version control and coding best practices using Git/GitHub. Demonstrated statistical experience in traditional frequentist methods and artificial intelligence/machine learning applied to an environmentally related discipline.
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Knowledgeable about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Reporting to the Director of Data Science, you will collaborate with cross-functional teams to develop and deploy machine learning models that solve complex problems and drive actionable insights.
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Should have a record of academic excellence, including demonstrated experience in most of the following areas:Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;Engineering: controls, estimation theory, digital signal processing, and machine learning;Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;Probability: statistics and random processes.
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In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms. The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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machine learning data mining applied mathematics jobs Company: Amica
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