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Uses Azure Databricks to explore and model data for predictive analytics or machine learning purposes. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world’s energy markets, identify new opportunities and turn data into impactful decision making.
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You must have worked with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools, and can translate data science problem statements into corresponding data, infrastructure, or workflow needs.
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Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc) Demonstrate ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc.
$150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise using statistical analysis, machine learning algorithms, deep learning, large language models, NLP, image recognition and predictive modeling. Expertise with cloud-based machine learning platforms such as AWS SageMaker, Azure ML, or GCP AI Platform.
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The following concentration fields and/or skills are strongly preferred: Machine Learning, IoT, Embedded Software, Deep Machine Learning, Prototyping, Robot Design, Systems Reliability, Camera Optics, Image quality, Vision or Image Quality Assessment, Firmware, and hardware integration.
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Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV) Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing.
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We are searching for an experienced Machine Learning Engineer to join a commodity trading company in their data science and machine learning team, as our client's workload grows.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis. Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
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With our next generation of subsea vehicles, such as the Liberty™ E-ROV and Freedom™ AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance.
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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis. Preferred: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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machine learning jobs Title: science Company: Discover Financial Services in Houston, TX
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