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You will have the opportunity, based on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, Statistics, or a related field.
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You'll work on a variety of projects, from predictive analytics and recommendation systems to natural language processing and computer vision. Welcome to the forefront of artificial intelligence and machine learning innovation.
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They will leading data science and predictive analytics initiatives while developing organizational capabilities to leverage Machine Learning (ML), Large Language Models (LLMs) and Generative AI. The individual will serve as a domain expert within our Data & IT Analytics and Research team, to conduct modeling, generate predictive insights, and develop innovative tools using ML and Generative AI technologies.
$104,800 - $123,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop and maintain state-of-the-art machine learning systems, with a focus on recommender systems and/or Natural Language Processing (NLP), to enhance user experience, operational efficiency, and risk management.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, small and/or large language models to understand, interpret, and analyze natural language.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Strong understanding of machine learning algorithms and techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning.
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Conduct research on AI/ML related fields (e.g., Natural Language Processing) to codify into firm assets, share with internal colleagues, and potentially deploy at client situations.
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Drive innovation by applying advanced analytics techniques, such as machine learning, natural language processing, and computer vision, to solve complex business problems.
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Expertise in natural language processing with a strong portfolio of relevant projects. Research, develop, train, and validate machine learning models and algorithms with a focus in NLP and LLM applications.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Specific experience working with natural language processing tasks related to token and seq classification. This is a research and development role which requires experience with modern machine learning frameworks.
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Applying natural language processing and machine learning to generate highly effective searches from client requests automatically. Fluency of large dataset processing with mainstream big data stack.
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machine learning natural language processing jobs Title: senior data scientist in New York, Bentonville, Kansas
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