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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The Groups of Dr. Omar Al-Louzi (Visual Outcomes Laboratory) and Dr. Pascal Sati (Neuroimaging Program) are seeking a highly motivated and talented Postdoctoral Researcher to lead multi-modal (OCT/A, MRI, PET) image analysis research projects using advanced machine learning in patients with neurological conditions.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
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Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video.
$136,038 - $199,870 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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1-5+ years of experience in Machine Learning (ML), Data Science, and Artificial Intelligence (AI), ideally with deep learning experience. We are looking to add an experienced Machine Learning Engineer to our esteemed team who can develop cutting edge Deep Learning technologies in the domains of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.
$120,000 - $190,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid understanding of applied machine learning techniques, such as supervised and unsupervised learning, deep learning, and natural language processing. Experience with search relevance tuning, query optimization, and ranking algorithms that incorporate applied machine learning techniques.
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Knowledge of most of the following: UTK, P-3, Social Emotional Learning (SEL), trauma-informed practices, restorative justice, EL Roadmap, EL best practices, QPLS, CPSEL, Common Core and NGSS Standards, SBAC, Adult Learning Theory, Coherence Framework, data analysis protocols, Community Schools, Project-based learning, team development, strategic planning.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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We are seeking a Machine Learning Engineer to play a key role in accelerating our model development through data innovation. Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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In the role of Senior Machine Learning Engineer, you will report to the director of data science and machine learning in the Center for Data and Insights. Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics.
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And one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. Senior Computer Vision & Machine Learning Engineer, Creativity Apps.
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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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