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As a dedicated Senior Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
$248,810 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Electrical, electronic engineering, linux, machine learning, malware, programmer, python, software. The Embedded Systems Section in the Strategic Aerospace Department provides electromechanical engineering support for several US Air Force Global Strike Command and Department of Defense programs.
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Be an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Machine learning and artificial intelligence. Must be a student enrolled full-time pursuing an accredited degree seeking program in Software Engineering, Computer Science or a related degree program and continue to be enrolled full-time the semester following the internship.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data science, Machine learning, Quantitative analytics, Logistic Regression, Random Forest, XGBoost, Segmentation, NLP Python and SQL. 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics, quality assurance and data management roles. Experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Machine Learning (3 years of experience is required) Collaborates with applications and data engineering teams for deploying models at scale. Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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An AI & Analytics Product Manager is a hybrid role, blending product management expertise with a deep understanding of data, artificial intelligence, and machine learning. Essential Skills:Strong understanding of AI & analytics technologies: Deep knowledge of machine learning algorithms, data mining techniques, statistical modeling, and other relevant technologies.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Background in Model Risk, including detailed knowledge of model validation related to statistical, AI and machine learning models, preferred. Experience and strong familiarity with Data Science, Artificial Intelligence / Machine Learning, Modeling Techniques, preferred.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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engineering machine learning jobs in San Antonio, WA, Ohio
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