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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
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Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer to join our Team in Irvine, TX.
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Postdoctoral position in machine learning for biomolecular simulation and modeling. Proficiency in machine learning, particularly in deep learning frameworks such as TensorFlow or PyTorch.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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O Implement and optimize machine learning workflows using Databricks’ integrated machine learning capabilities. o Experience with machine learning and data science workflows is a plus.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.
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As our Lead Machine Learning Engineer, you will be the pioneering hire in our Creative Insight’s ML division, laying the foundation for a team that will grow to include additional ML engineers.
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An emerging provider of next generation technology solutions, Applied Industrial Technologies has a growing automation footprint and expanding offering of motion control, machine vision, robotic and IIoT technologies, plus related value-added industrial expertise.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities: Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. Experience in machine learning workflows within DataBricks.
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