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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
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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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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models.
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Our work spans many disciplines, such as information retrieval, natural language processing, and machine learning. Work with the DevOps team on defining the infrastructure requirements for data products to operate reliably at scale, serving analytics and machine learning, and other use cases.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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Implement machine learning and natural-language-processing (NLP) methodologies to train and deploy data-scientific models that improve, support and streamline the work of the quality engineering (QE) teams at Red Hat.*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Westford, MA.What You Will Do:Design roadmaps and write python scripts, develop python scripts and maintain high quality standards to deploy the model into production.
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2+ years of relevant experience with a wide range of analytics techniques, such as statistics, machine learning, natural language processing, optimization, simulation, or closely related techniques.
$42 - $57 an hourExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data science and machine learning development (2+ years with a master’s degree). Proven expertise in building machine/deep learning models using common frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, TensorFlow, XGBoost, etc.
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Familiarity with natural language generation (NLG), natural language processing (NLP), computer vision, or other specialized areas of machine learning. 6 to 8 years of relevant experience, with 4+ years of professional experience in data science, with strong foundation in statistical analysis, machine learning, and data visualization.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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Develop, tune, and deploy statistics & machine learning models including but not limited to classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc.
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As a Staff/ Lead Data Scientist - Technical Curriculum Development, you’ll apply your expertise in machine learning and passion for enabling others to lead the design and development of enablement content that showcases the cutting-edge and industry-disrupting machine learning features of the Databricks Data Intelligence Platform.
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Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client tools H2O, Tensor Flow, Prediction.io; Distributed Data Platforms HDFS, Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
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machine learning natural language jobs Title: data Company: Inc
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