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Experience with natural language processing, text mining, or machine learning techniques. Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. Additional preferred qualifications include working with unstructured text and natural language processing.
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Knowledge and experience with NLP (Natural Language Processing) libraries within Python. Experience with big data technologies such as Spark and TensorFlow is a plus. Implement and deploy scalable solutions for data processing, model training, and evaluation.
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Experience with Object-Oriented Programming, Advanced Data Structures, Design and Analysis of Computer Algorithms, Natural Language Processing, and Applied Probability and Statistics. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificia l intelligence.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. - Experience with ML framework, e.g., PyTorch, Spark MMLib, Tensorflow, developing machine learning models.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Knowledge of distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Experience working with Python, R, Natural Language Processing (NLP), AI/ML Ops. Working knowledge and experience with: SQL, noSQL, SQLAlchemy, Flask, Streamlit, Dash, React,Javascript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD.
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Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.
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Apply natural language processing, computer vision, signal processing, and speaker and speech recognition algorithms to identify objects in text, image, video, and audio files. Hadoop (including HDFS, Hbase , Hive, Impala , Giraph, Sqoop), Spark (including MLib, GraphX , SQL and Dataframes.
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Apply machine learning techniques, such as regression, clustering, classification, and natural language processing, to extract insights from large and diverse datasets. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Ability to deploy natural language processing, text mining, or machine learning te chn iques. The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence.
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Design and build core capabilities by leveraging content understanding capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies.
$128,000 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with Natural Language Processing (NLP), computational linguistics, Entity extraction, named entity recognition (NER), name matching, disambiguation, Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA.
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Drive strategic features for Data Management leveraging Machine Learning, and natural language processing (NLP). Prior experience in solutions/consulting with data integration, Spark, is a must.
$121,800 - $228,700 a yearFull-timeExpandApply NowActive JobUpdated Today
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