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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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The Leidos EW Division performs on programs that include advanced signal processing, machine learning, optimization, detection & estimation, deep learning, and adaptive decision and control.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
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Ii) develop of machine learning and computational discovery methods for public health research. ii) develop of machine learning and computational discovery methods for public health research.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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I. DEPARTMENT INFORMATION Job Description Summary: The George Washington University Milken Institute School of Public Health is seeking a Bioinformatics Analyst II. The skilled and collaborative candidate will study microbial genomics in a public health context and have the opportunity to:(i) analyze large omics datasets from clinical and epidemiologic studies(ii) develop of machine learning and computational discovery methods for public health research.
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Experience in data science and machine learning for retail & e-commerce. Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department.
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Our department mission is to radically accelerate innovation across all data, analytics & Machine Learning teams by providing a self-service, end-to-end platform, enabling the creation of connected, and repeatable, machine learning and analytics solutions.
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Our fun, hands-on learning summer camp is looking for a PAID Photography Intern interested in learning all aspects of photography for digital marketing. Our diverse activities, from biking and machine sewing to skateboarding and parkour, are crafted to help campers of all ages to Discover strengths, Explore their potential, Achieve new heights, and Navigate challenges with confidence.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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machine learning jobs Title: learning architect Company: Assemblyai in Washington, DC
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