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3+ years' experience as a Machine Learning Engineer, Data Scientist, or Data Engineer. 2+ years' experience with Python or Scala and machine learning frameworks: scikit-learn, PyTorch, xgboost, TensorFlow, Keras, OpenCV, etc.
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4+ years of experience with data science, including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sci-kit-learn, TensorFlow, PyTorch.
$163,100 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience working with SAS, R, Python, Alteryx, Tableau, SQL, HRIS systems or other machine learning and data visualization applications is required. This position will partner with the executive team, HR and all other functions to understand and deliver on their HR data needs.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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This role will provide Medicare Advantage clinical and customer data science expertise and will own the applied machine learning, predictive modeling, and decision-making behind all clinical and customer initiatives.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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They may create and maintain common data dictionaries and the tools or methods that support data standards for TSC. They also apply advanced analytical techniques including AI/Machine learning to help extract actionable knowledge to optimize operations and to drive strategic growth.
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As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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They use Azure services such as IoT, AI, and machine learning to develop solutions that enable customers to optimize their energy usage, reduce their carbon footprint, and improve operational efficiency.
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Develops models leveraging advanced statistical modeling, machine learning and/or data mining techniques. Experience in major machine learning frameworks and tools such as Spark ML/MLlib, Scikit-Learn, Pandas, PyTorch, TensorFlow, etc.
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Join the US AWS Global Sales organization as a Generative AI and Machine Learning Specialist Seller! Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice.
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It's mission is to automate package quality decisions using computer vision and machine learning models combined with the data inflow from hardware sensors for Amazon Customer Fulfillment.
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Strong technical skills and expertise in cloud platforms (AWS, Azure), data warehousing, ETL processes, data engineering tools, data governance, and machine learning technologies (e.g., Databricks, Azure Data Factory, AWS Glue, SQL Server.
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As Artificial Intelligence Marketing Technology Manager, you will be the technological cornerstone of our marketing & experience team, driving innovation and efficiency through the strategic use of generative AI, machine learning, and predictive analytics.
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Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks. · GenAI / AI / Machine Learning: Working experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services.
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machine learning data jobs in Tennessee, TN
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