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Provide SME-level expertise in development and application of artificial intelligence (AI), machine learning (ML), and natural language processes (NLP) in the context of developing information based capabilities for Army forces.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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To be considered for this team, you will need the following:- US citizenship plus current TS/SCI + FS Poly- Bachelor's Degree (MS or PhD preferred)- Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline- Experience with R/Shiny or Python.
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Apply programming to parse data, statistics, machine learning and artificial intelligence techniques, and NLP algorithms to uncover novel trends or factors representing opportunities or challenges to our business.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. 3+ years of experience with using programming languages to manipulate and analyze data, including Python and SQL.2+ years of experience with machine learning, data cleansing, and statistical analysis.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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2+ years of experience with machine learning, data cleansing, and statistical analysis. + Experience with a continuous delivery machine-learning project (e.g. Webapp in production, webserver r.
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Collaborate on a team of data scientists to build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and maintenance.
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In this role you will work across our client engagements, providing expertise in cloud computing, such as Azure Cloud including AML, ADF/Azure Cloud, Machine Learning, NLP, Bigg data procession, Depp learning, Azure/Databricks/Data Lake, ADF, Python (data wrangling, joins, cleaning, visualization, statistical learning), Azure SQL, Git, Apache Spark (cluster computing/managing.
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The Compliance Risk Management Analytics and Innovation team builds the machine learning models that contribute to the organization's regulatory compliance and risk management program. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
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We are seeking a highly-skilled and experienced Senior Machine Learning Engineer to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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