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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch. In-depth understanding of deep learning technology in recommendation system or NLP fields.
$231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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And working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Minimum of 3 years designing and deploying in AI/ML/ NLP/Deep Learning solutions.
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Minimum 1 year experience working as a learning designer or digital learning content creator, ideally within the following sectors: further education, higher education, international development, public sector, charities, NGO.
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And deep learning libraries (TensorFlow, PyTorch) along with experience using simulation and visualization tools. 10+ years experience in applying deep learning in computer vision, preferably in the context of autonomous vehicles or robotics.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM.
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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$124,596 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist – Medical Image Analysis Location: Dallas, TX As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
$304,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply predictive analytics, statistical modelling and machine learning/deep learning techniques for recommender systems, financial crime detection applications, risk analytics and text analytics.
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We work on a wide variety of image-processing topics ranging from deep learning to physics-based models to understand our changing planet. Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
$229,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working on all aspects of enterprise scale implementation for AI/GenAI solutions including architecture, design, security, infrastructure, MLOps/GenAIOps Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
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