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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI. Experience with virtualization and/or cluster management tools, such as Docker/Containers/ Kubernetes.
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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The vast amount of data, variety of quickly-evolving marketing channels, and hunger for analytics all intersect to make Capital One's marketing space a target-rich environment for optimization through data science and machine learning.
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Experience develop and deploying automation leveraging artificial Intelligence (AI) and machine learning. As part of the Technology Operations Organization, the Vice President of Service Management is responsible for overseeing and managing all aspects of automation and business transformation efforts which includes: Change Management, SLA Management, Problem Management and Incident Management for our B2B and B2C business operations through adherence to ITIL and eTOM best practices.
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Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques. Provide expert guidance in machine learning, deep learning, and advanced AI techniques, with a focus on e-commerce product search and recommendation systems.
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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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You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT. Your customers leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like today’s Shopify, Slack, Instacart, or Lyft.
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We are a small but mighty group of problem solvers, innovators, and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we're looking for people to join our team who are ambitious, curious, and self-motivated.
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Experience advising on artificial intelligence (AI) including machine learning and generative AI. T he successful candidate will play a critical role providing counsel and strategic input on legal issues related to Artificial Intelligence including generative artificial intelligence, machine learning and the law.
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Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow. 8+ years of experience in end-to-end statistical analysis, data science, and machine learning lifecycles at an enterprise level.
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In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby's sleep patterns and allowed them to achieve better sleep quality.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins.
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Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale. Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale.
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machine learning jobs in Old Westbury, NY
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