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Responds to alerts or issues and facilitatesappropriate resolutions within the SLA. Design using PyTorch, transition and deploy of enterprise scale intelligent applications driven by Artificial Intelligence, Deep Learning, Machine Learning algorithms and Natural Language Processing to various private and public clouds for intelligent promotion recommendations.
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Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, and/or Reinforcement Learning. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. Passionate about natural language understanding, information retrieval, or machine learning.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
$150InternExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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Develop AI-based systems for Natural Language Processing (NLP) Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
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We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP). 4 years of experience with applying machine learning algorithms in natural language processing domains.
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Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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machine learning software engineer natural language processing jobs Title: frontend engineer in Mountain View, CA
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