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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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MasterControl is looking for a Principal Machine Learning Engineer to join our Machine Learning team to help build systems that accelerate the development and deployment of machine learning models, especially large language models (LLMs.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience working with Cloud technologies, Infrastructure, Network Security, and/or modern deployment technologies and products including by not limited to CI/CD pipelines, Open-Source software, Artificial Intelligence and/or Machine Learning preferred.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Lead teams in a collaborative effort involving Engineering and data science experts in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications on a true big data platform.
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Machine Learning Knowledge of best practices and experience with an LLM. The ideal candidate for this position has experience in Azure, data pipelines, data architecture and warehousing, and has dabbled in machine learning.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using machine learning libraries or platforms, including Torch, Tensorflow, Caffe, Theanos, Scikit-Learn, or ML Lib for production or commercial products preferred. We are looking for a Machine Learning Engineer to collaborate with and support our newly formed data science team.
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Design, develop, and maintain scalable machine learning solutions with a focus on Natural Language Processing. 7+ years of experience in the field of Machine Learning or AI, with a focus on NLP.
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Adopt various tools developed by the Engineering team to automate failures using machine learning techniques and notify discrepancies in the health of production and automation of health-restoration, with a focus on continuous measurement of risk and cost.
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Build and fine-tune deep learning and machine learning models, with an emphasis on large language models. As a MACHINE LEARNING SOFTWARE ENGINEER, you will play a vital role in enhancing our contact center solutions through the.
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Train machine learning models on a variety of datasets. Our client, a HealthTech company located in Utah, are hiring a Machine Learning Engineer to play a key role in constructing and refining cutting-edge AI models for their health and fitness platform.
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Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias.
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Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.
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Knowledge and experience working with Interactive Voice Response (IVR), Content Management System (CMS), Knowledge Management System (KMS), Machine Learning (ML), chatbots, and internal home-grown tooling (Amazon Connect, Contentful, Qualtrics, Salesforce preferred.
$105,400 - $124,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
on machine learning jobs in Salt Lake City, United-states, District Of Columbia
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