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Strong knowledge of data governance and management, ML algorithms, deep learning, natural language processing (NLP), or large language models (LLMs). Proficiency in machine learning, deep learning, and natural language processing (NLP.
$306,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs. As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing. Develop and integrate LLMs to enhance data analysis, natural language understanding, and generation tasks.
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The Cloud Security Architect (CSA) will leverage broad technical knowledge of cloud security best practices of key public cloud offerings of providers such AWS, Azure, and GCP to establish secure design patterns, to architect integrations among cloud and/or on-premises infrastructures.
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Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
Full-timeRemoteExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applications.
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Deep expertise in one or more data science specialties, such as natural language processing, computer vision, or deep learning. Develop models and solutions for problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, data visualization, and metrics creation.
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5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain. 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain.
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Familiarity with AI/ML - Anomaly detection, Data Visualization Supervised and unsupervised learning, Deep learning networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and Software/ML tools.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with deep learning, data science, and NVIDIA GPUs. - Experience with accelerated Computing/ Data Center technology/ Deep learning & machine learning. - Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
$402,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We need an experienced data scientist to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyperparameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set.
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9+ years of proven leadership roles and skills related to Artificial Intelligence implementation with professional experience in applied implementation of Natural Language Processing (NLP), Expert Systems, Evolutionary Computation, and Deep Machine Learning/Neural Networks domain.
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5+ years expertise with machine learning and/or natural language processing. Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation.
Full-timeExpandApply NowActive JobUpdated 24 days ago
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