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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. 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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Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
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You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future.
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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At least 2 year of experience in open source programming languages for large scale data analysis. At least 2 year of experience with machine learning. At least 4 years’ experience with machine learning.
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Our contributions don’t end with just our clients – as a member of the Linux Foundation and the Cloud Native Computing Foundation, Accenture is on the forefront of defining the future of cloud technologies by contribution and collaboration to the Open-Source community.
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Experience with cloud computing platforms (AWS, GCP, Azure etc.) Together AI is seeking a Distributed ML Systems Engineer to design and build scalable machine learning systems that power our accelerated AI initiatives.
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As a member of the Linux Foundation and the Cloud Native Computing Foundation, Accenture is on the forefront of defining the future of cloud technologies by contribution and collaboration to the Open-Source community.
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