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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Experience with machine learning integration in experiment workflows. Experience in machine learning strategies like lifelong learning, online learning, incremental learning.
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Knowledge of machine learning algorithms and techniques.
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You will be responsible for leading projects from conception to completion, collaborating with cross-functional teams to develop innovative solutions that leverage advanced technologies such as smart material handling, robotics, AGV, ASRS, vision systems, machine learning and artificial intelligence.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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2+ years of experience with digital signal processing, probability theory, stochastic signal processing, design of digital filters, statistical/analytical signal processing, feature extraction, and machine learning techniques.
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Clinical Bioinformatics & Exploratory Analytics, as a part of the Clinical Data Science organization, supports drug development and other business use cases across Gilead by providing data analytical, engineering, and visualization solutions to enable scientific and other business exploration and decision-making, including statistical analysis, genomic data processing and analysis, general machine learning and deep learning, and other technical infrastructure.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Data science, machine learning, optimization models, 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.
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Dr. Terrance Boult and his team at the El Pomar Institute for Innovation and Commericalization (EPIIC) at the University of Colorado Colorado Springs (UCCS) are seeking one or more highly motivated advanced post-doctoral researcher(s) with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning, and/or with biometrics and computational photography.
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Innovative Refrigeration Systems is looking to hire a Lead Machine Learning Engineer full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine-learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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machine learning jobs Title: principal Company: Spectrum
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