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Staff Software Engineer (Data & Machine Learning Operations) This role reports to the Manager, Machine Learning Operations. Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
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About the Position As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and stand up the necessary infrastructure in Azure.
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As part of the machine learning team, you are instrumental in supporting the automated monitoring mission at BlackSky. You will help ensure that Spectra AI produces consistent, reliable, and relevant analytics to BlackSky's growing user base.
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Job Summary The machine learning/data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health.
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While not a requirement, it would be helpful if you have studied or have worked with machine learning, statistics, computer vision and would enjoy working with Computer Vision subject matter experts.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ALTA IT Services is staffing a contract to hire opportunity for a Machine Learning Data Engineer to support a Financial Services client. Machine Learning Data Engineer.
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Stay abreast of the latest academic research and open-source advancements, integrating cutting-edge technologies to continuously improve our data operations and machine learning model performance.
$355,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The machine learning/data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health.
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The Health Artificial Intelligence (AI) team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations.
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As the Lead Data Engineer for Machine Learning Operations you will lead and own the MLOps initiatives within Business Insurance Analytics and Research to accelerate model lifecycle.
$250,700 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields. Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
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Experience in data science for e-commerce and/or OTA. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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machine learning operations jobs Title: data engineer machine learning
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