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Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
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Postdoctoral fellow is an entry level position in which the research fellow receives training under close supervision of faculty in the Emory University, School of Medicine, Department of Biomedical Engineering”Qualifications: A doctoral degree or equivalent in Electrical Engineering, Biomedical Engineering, Neuroscience, Computer Science, Machine Learning, or highly related fields.
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Consulting and/or CxO roles with 15+ years of progressive technology exposure (AI - including Machine Learning, Natural Language Processing, Deep Learning, Robotics, Product Development, BI, Digital Transformation, Block Chain, Big Data, High Performance Compute, Cloud, etc.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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Position Description:As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
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You will apply your deep understanding of memory array architectures, high-speed interface design, logic & custom circuit design, memory subsystem operation, high-performance computing architectures, and 2.5D & 3D package integration to understand and analyze bottlenecks and propose innovative architectures to target best-in-class performance, power, cost, reliability and quality for Micron’s HBM product portfolio.
$336,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We seek applications in the broader areas of Human Computer Interaction; Artificial Intelligence and Machine Learning (including but not limited to Computer Vision, Deep Learning, Natural Language Processing); Robotics; Social Computing; Responsible AI (including but not limited to Ethics and Explainability); Health; Sustainability (including but not limited to Environmental Sustainability and other issues across the UN Sustainable Development Goals); and Usable Security and Privacy.
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Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, deep learning, computational algorithms, and data science techniques to improve business outcomes and data-driven decision making.
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Solid experience developing and implementing Generative AI like transformers, LLM’s, text embedding’s and with strong understanding of deep learning techniques like GPTs.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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This team will leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for our automated document processing and customer service chat bots.
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Deep learning, NLP, REST API, Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation.
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We're looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques including Generative AI, deep learning, machine learning, reinforcement learning, and CNNs.
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As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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