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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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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. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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On their behalf, we manage (or “service”) their loan portfolios, which means that we collect homeowners’ mortgage payments, pay their tax and insurance bills, and help homeowners in default to get current.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Senior Machine Learning Engineer. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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A candidate would work closely with two other lab members focusing on computational approaches (including machine learning) and with multiple experimentalists. Experience with one or more of the following would be desirable but not required: o Relational (e.g. MySQL) or non-relational (MongoDB)databasing o Signal processing (filtering and feature detection) o Machine learning o Computer vision (object detection and feature extraction) o Hardware integration (e.g. Serial port communication, microcontrollers, closed-loop control) o Fluorescence Microscopy o GPU computation (CUDA, Tensorflow/PyTorch.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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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 10 days ago - UpvoteDownvoteShare Job
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Flexible work schedule providing on-site, remote, and virtual office opportunities. Audit and plan digital enhancements and upgrades, leveraging data to make recommendations on content governance and site design.
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5-7+ years in industry developing and deploying machine learning models, preferably in NLP, LLM and ideally generative AI domains. 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.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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This is an on-site only role. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case.
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Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
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Extensive knowledge of statistical modeling, machine learning algorithms, deep learning frameworks (TensorFlow, Keras, PyTorch), and NLP techniques. Are you a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (Client) and Artificial Intelligence (AI.
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About The Position ID: 50635948 Shift: 12 HR Days 07:00-19:00 Description: Job Specific Notes: Cath Lab RNLOCATION: BAYLOR SCOTT & WHITE MEDICAL CENTER, MARBLE FALLS TXDEPT: CATH LABSCHEDULE: FT DAYSRELOCATION: Amount is based on distanceJOB SUMMARYThe Cath Lab Registered Nurse (RN) is a licensed professional who uses the BSWH nursing professional practice model to coordinate patient care delivery by the health care team.
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machine learning on site jobs in Houston, MO, Canada
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