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Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, RESUME, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to help usher in new ways of working that saves time and money while advancing capabilities.
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As a Data Scientist at Capital One, you’ll be part of a team that’s 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.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
$235,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of modern machine learning, NLP and information retrieval are a big bonus. You will be building product enhancements for search components with contributions to Elasticsearch and Kibana, as well as to distributed machine learning infrastructure.
$210,700 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. In this role, the successful candidate will be instrumental in driving GAM1's efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Develop and deploy machine learning models on GCP, leveraging tools such as AI Platform, TensorFlow, AutoML, and Vertex AI. Work closely with software engineers, data scientists, and business stakeholders to gather requirements and implement innovative solutions for data processing, analytics, and AI/ML projects.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Drive the implementation of Azure Pipelines for automated deployment (CI/CD), ensuring seamless integration and delivery of software updates and releases.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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machine learning software big jobs Company: Capgemini Government Solutions Llc in Washington, DC
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