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Fluent in Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages such as Spark. Expedia Group is looking for a Machine Learning Scientist to join our Flight Search Machine Learning team.
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Currently implemented modules include Core HR, Benefits, Compensation, Performance Management, Absence, Recruitment, and Learning, with additional Workday modules (e.g., Payroll) to be implemented in the future.
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The Apprentice, Certified Nursing Assistant (CNA) is a member of the Nursing team within the Community and whose role is part on the job learning and part formal education through a local CNA Training Program.
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Attend, support and represent brand at transitions, Value Propositions Meetings and industry events as required Establish Yearly Benchmarks / Goals and work with staff to ensure franchisees are exceeding those goals Assist franchise sales to grow national brand franchise footprint, assist franchisee recruiting efforts to grow local market share, and assist learning team to better aid in per agent productivity growth to boost profitability and market share.
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Job Title: Machine Learning Engineer. 5+ years of machine learning, data science, software development, and/or similar experience, with significant contributions that you can talk to.
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The Metra Internship Program provides an opportunity for college sophomores, juniors, seniors and graduate students to gain practical experience through on-the-job learning. DUTIES : Under the direction of Metra staff, the Intern will provide assistance to the Corporate QA program in the performance of audits and reviews of capital projects (design, construction, rolling stock.
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Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C. Quantitative Researcher, Machine Learning - Work From Home. - Practical experience applying machine learning techniques for trading applications is preferred.
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Trains/deploys models using tools such as Python, SAS, R, Cloudera, Databricks, or other common machine learning platforms/languages/frameworks to solve business problems. 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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PIE provides our staff opportunities to chaperone students on experiential learning trips to amazing places like Italy, Cuba and China as well as U.S. based trips to DC, a ranch in the Rocky Mountains of Colorado and a farm in Northern California.
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The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
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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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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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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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Or Java, and cloud computing and AI services on platforms such as AWS, Azure, and GCP, including the machine learning and AI tools. This role will have a focus on Insights & Analytics, including experience with and an understanding of data strategy, digital asset management, and AI strategy, as their area of expertise on the leadership team.
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machine learning jobs Title: intern Company: Seagate Technology in Chicago, IL
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