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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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We Seek:Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). Machine Learning Engineer - Google Cloud Platform (GCP)Shape the future with next-generation AI: Join us as a Machine Learning Engineer.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Deep understanding of data science, machine learning, deep learning, advanced statistical techniques and concepts. Assist IT leads to develop IT strategies and to oversee architectural designs for implementation of Advanced Analytics, Big Data and Machine Learning.
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Azure, AWS, Oracle OCI, GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. 1)Serve as the central hub for performance data and trends, leveraging advanced data analysis techniques to monitor, predict, and enhance 3D printing production efficiency.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Knowledge of text mining or machine learning techniques. Experience developing machine learning models using DataRobot's automated platform.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects.
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The ability to understand and implement publications in the fields of Data Science/Machine Learning as applied to marketing. Familiarity with Machine Learning techniques (e.g. classification, clustering, regularization, optimization, dimension reduction, feature engineering.
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Utilize statistical and machine learning techniques to derive insights from large datasets. Implement machine learning techniques to analyze customer behavior and tailor recommendations to individual preferences.
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Progressive design professional with a strong knowledge of computational design technology and emerging applications including: 3D modeling software such as Revit and Rhino; parametric design methodologies using Dynamo and Grasshopper; data and 3D visualization capabilities utilizing PowerBi and Tableau; and multi-variable optimization through Machine Learning & AI.
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U.S. Data Security (“USDS”) is a standalone department of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Demonstrated expertise in hydrology, water resources, or environmental engineering with a specialization in one or more areas, but not limited to, surface and/or groundwater hydrology, climate change, remote sensing, extreme events, land-atmosphere interactions, artificial intelligence, big data, or machine learning.
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