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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
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Responsible for building and implementing deep learning-based transformer-based machine learning models in the areas of Natural Language Processing (NLP) and Computer Vision (CV.
$146,170 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - 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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Understanding of key natural language processing, data mining, machine learning, and statistical methods. The Natural Language Processing / Information Extraction (NLP/IE) Program at the IHI is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.
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Good foundation in Machine Learning (ML), Deep Learning, and NLP. Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus.
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Develop solutions for natural language understanding (NLU) and natural language generation (NLG) using machine learning and deep learning techniques.
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Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Utilize your knowledge in deep learning, computer vision, and natural language processing to contribute to models that efficiently extract key data. As a Junior Machine Learning Engineer, you will play a crucial role in supporting the development and deployment of these innovative ML models focused on document processing tasks.
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Experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Background and degree in at least one of the following fields or related topics: artificial intelligence, computer vision, deep learning, image/signal processing, machine learning, large language models.
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Experience applying various Machine Learning techniques such as: Time Series Forecasting, Recommendation Systems, A/B Testing, Dynamic Pricing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Natural Language Processing, Deep Learning and Reinforcement Machine Learning.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will also serve as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural processing, as well as development and execution of annotation tasks with teams of experts.
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The ideal candidate will have a strong foundation in machine learning, deep learning, data processing, natural language processing, and cloud computing platforms.
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machine learning natural language processing deep engineer jobs Company: Scale Ai
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