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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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A typical day in this role might involve: communicating with peers and stakeholders, updating project documentation with current statuses, authoring elearning courses, maintaining phased onboarding plans, interfacing with our learning management system to action updates or pull reports, attending meetings, and completing peer QAs.
$107,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience deploying Deep Learning models, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP a plus. Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Georgia-Pacific is looking to hire a Learning & Development Leader to support Georgia-Pacific manufacturing facilities across the United States. Experience managing full cycles of curriculum design including facilitator user guides, participant workbooks, presentation decks, eLearning, videos, job aids, and other learning collateral.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Candidate knowledge of Canvas, Zoom, non-linear video editing software, and audio editing software is required, as well as knowledge of emerging technologies as related to teaching and learning.
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The Instructional Technologist will work with the Perkins School of Theology in order to develop online materials in Canvas, the Learning Management System, and to coordinate the completion of accessibility elements with faculty and student workers.
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3+ yrs of experience working as a Machine Learning Engineer and has implemented and deployed at least. Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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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 20 days ago - UpvoteDownvoteShare Job
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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 20 days ago
learning job Title: reverse engineer in Dallas, TX
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