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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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Implement best practices of MLOps to ensure product health- Apply state-of-the-art techniques in deep learning, natural language processing, reinforcement learning, and computer vision to drive innovation and improve business performance.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bloomberg Media is looking for a dedicated and experienced Machine Learning engineer to join the Media Data Science team. Click Prediction, Natural Language Processing or User Behavior Modeling.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining. - Improve user experiences during creation by leveraging a deep understanding of user behavior and state-of-the-art machine learning technologies.
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Proven 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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You will apply classical ML algorithms and cutting-edge deep learning (DL) approaches to areas within the natural language processing and understanding spaces including GenAI, document processing and understanding, call center analytics, and chat experiences.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Amazon Web Services (AWS) Professional Services (ProServe) is looking for Machine Learning Engineers who like helping U.S. Federal agencies implement innovative cloud computing solutions and solve technical problems using state-of-the-art language models in the cloud.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you are proficient in developing and deploying advanced ML models to solve diverse challenges and opportunities. Experiences related to machine learning, deep learning, NLP, GenAI, distributed training, model hosting,etc.
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Implement natural language processing (NLP) techniques to enable chatbots to interact effectively with users. Stay up to date with the latest advancements in machine learning and data science.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Knowledge of machine learning concepts and techniques such as supervised, unsupervised, and reinforcement learning, deep learning, natural language processing, computer vision, etc.
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Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc.
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