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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
$125,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideal candidates will have education and experience drafting and prosecuting software applications in technologies including cloud infrastructure, artificial intelligence/machine learning, networking, and enterprise software systems.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Postdoctoral fellow is an entry level position in which the research fellow receives training under close supervision of faculty in the Emory University, School of Medicine, Department of Biomedical Engineering”Qualifications: A doctoral degree or equivalent in Electrical Engineering, Biomedical Engineering, Neuroscience, Computer Science, Machine Learning, or highly related fields.
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Foster the corporate exploitation of big data and sourced data as well as the liberation of dark data, using a combination of open source, cloud and social era tools and techniques for data analytics, machine learning, mining, and visualization.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Strong foundation in machine learning and deep learning concepts. - Assist company in developing and implementing AI algorithms (machine learning, deep learning, automations, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
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Requires a bachelor's or foreign equivalent degree in Business Analytics, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics, Engineering or a related field and 4 years of experience in the position offered or 4 years of experience performing data science or analytics.
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Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions. Common areas of study include but are not limited to: Engineering, Mathematics, Statistics, Physics, Finance, Economics, Computer Science, Data Science, Accounting, Audit Management and Risk Management.
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Advanced degree (master's or PhD) in Statistics, Machine Learning, Computer Science, Engineering, Data Analytics etc. Experience in Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
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Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS. Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
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machine learning computer jobs in Atlanta, MT, United Kingdom
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