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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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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.
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Familiarity with natural language processing (NLP) and deep learning techniques. A rapidly expanding AI-powered customer analytics company focused on delivering deep customer insights and personalized experiences using cutting-edge artificial intelligence, machine learning, and data science techniques.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
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They are seeking a highly skilled Bioinformatician with extensive experience in Large Language Models (LLMs) and Natural Language Processing (NLP) to join their cutting-edge team.
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Strong background in computer science, mathematics, or related fields, with expertise in machine learning, deep learning, computer vision, natural language processing, and understanding of world model architectures.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Lead Machine Learning Engineer is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis and may differ by hiring location.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Proficiency in NLP: Strong knowledge of natural language processing (NLP) and machine learning concepts, with experience building and training virtual agents. Expertise in Google Cloud Technologies: Hands-on experience with Google Cloud Platform (GCP), including Dialogflow, BigQuery, Google Kubernetes Engine (GKE), and AI/ML services.
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