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Data Scientist (Artificial Intelligence/Machine Learning), 722001800. Applies core data science techniques such as machine learning, statistical learning, data mining, data wrangling, data discovery, model training/testing, and model deployment/monitoring to solve DLA business problems.
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5+ years of machine learning, data science, software development, and/or similar experience, with significant contributions that you can talk to. Create, design, and deploy ETL and ELT flows for consuming from disparate sources of 3rd party data for various machine learning applications.
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Strong knowledge of probability, statistics, and machine learning for time-series data. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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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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Expedia Group is looking for a Machine Learning Scientist to join our Flight Search Machine Learning team. Formulate machine learning problems, build data ETL pipeline, conduct exploratory data analyses, and develop effective models.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. Many CHALLENGING and exciting projects with new opportunities and learning.
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As a Data Scientist at Capital One, you ll be part of a team that s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Experience building and bringing to practical use, knowledge graphs and graph-based machine learning models.
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
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Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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machine learning jobs Title: sr data scientist Company: Wells Fargo Bank in Chicago, IL
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