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Job Description The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. 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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Proficient in programming languages relevant to AI and machine learning, such as Python, R, or Scala. Develop and maintain a deep understanding of Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services, to architect and implement AI solutions.
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The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Backend Engineer, you will be responsible for designing, developing, and deploying secure, scalable, and reliable cloud infrastructure that houses software, machine learning models, data, and serverless functions that support mission critical operations.
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Desired Skills are:Knowledge of machine learning frameworks such as TensorFlow, Pytorch, or others. Understanding of machine learning concepts, model evaluation strategies, and lifecycle (feature generation, model training, model development, bath and real time scoring) and engineering considerations.
$-14 - $139,395ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced understanding of machine learning, including designing and testing models; working knowledge of deep learning, or recommendation systems is a plus. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
$136,800 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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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.
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As a data scientist in the Audience Science hub, you will be part of a team that is leveraging machine learning techniques and algorithms to analyze humungous volumes of structured and unstructured customer data to unlock actionable insights and opportunities that help us drive user value and retention.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Build and deploy data science products and share analytic insights using machine learning, statistical modelling, and NLP techniques for NCDR internal and external stakeholders. Demonstrated experience with statistical modeling, machine learning, building and deploying machine models, and/or leveraging unstructured data.
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The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes.
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Collaborate with internal and external stakeholders to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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If you thrive in a dynamic environment, enjoy pushing the boundaries of what's possible with AI and machine learning, and want to be part of a mission-driven organization, we would love to hear from you.
$113,000 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Scientist/ML Engineer: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning. As a Specialist Solutions Architect (SSA) - Machine Learning on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases.
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