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4+ years of experience working within data science, machine learning engineering, or data research in a professional or academic environment. Job Number: R0193203 Advanced Data Scientist and Machine Learning Engineer.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Our engineering teams build 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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As a Machine Learning (ML) Engineering Manager Sr you will lead a team of ML Engineer and Software Developer's to deploy machine learning models in production environments at scale.
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Experience implementing machine learning or artificial intelligence solutions. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
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We provide industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML) Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. The Data Science director will partner with Engineering and Product leads across Meta Ads, and AI infrastructure to guide the strategic direction for one of the largest-scale ML infrastructure systems in the world, developing new ML infrastructure capabilities, improving the efficiency of the systems and adopting the ads data systems to meet privacy requirements.
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In your role as a machine learning infrastructure engineer on our team you will: - Spend most of your time working on data and machine learning systems. Your efforts will directly improve the machine learning workflow of both our team as well as many partner teams, whose scientists leverage our evaluation infrastructure to guide their experiments.
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Ph. D. with 1-3 years of pharmaceutical drug development experience relating to: PKPD, pharmacometrics, mathematics, statistics/ biostatistics, or chemical/biomedical engineering. Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics.
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
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Amazon Community Operations, is looking for a Sr. Manager, Business Intelligence who possesses a strong background in data (internal and external) extraction and summarization, visual analytics, predictive analytics, statistics/Machine Learning, automation, and developing business/customer insights.
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This role will build teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices.
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Center 1 (19052), United States of America, McLean, VirginiaSr. Director, Data Engineering - Card Technology Capital One is seeking a Senior Director, Data Engineering to work on a large integration project within our Card Technology organization.
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We sail into uncharted waters every day at Facebook in Production Engineering, and we are always learning. Experience learning development languages (PHP, Python, C. Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between.
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Capital One is seeking a Senior Director, Data Engineering to work on a large integration project within our Card Technology organization. Sr. Director, Data Engineering - Card Technology.
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