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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Using open-source frameworks (for example, scikit learn, tensorflow, torch). Significant experience in one or more of the following areas: machine learning, deep learning, computer vision.
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Must have knowledge of advance data science methods; examples include prescriptive, cognitive algorithms, big data analytics, commercial and open source Hadoop, data-mining, Python, “R”, machine learning, or NLP.
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Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products. Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling.
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3+ years of experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, MLLib, SciKit-Learn, TensorFlow, Theano, etc. 3+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures.
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Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. At least 1 year of experience in open source programming languages for large scale data analysis.
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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 have experience with clustering, classification, sentiment analysis, time series, and deep learning. You're comfortable with open-source languages and are passionate about developing further.
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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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Our areas of research include reinforcement learning, recommender systems, causal inference, and deep learning with a focus on transformers. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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Train, validate, and deploy deep learning algorithms to deliver new measures and data outcomes that drive deeper understanding for consumer liking, product & package design performance and product quality.
$103,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and refine LLM and natural language processing (NLP) systems on AWS, using open-source models and tools. Develop and optimize deep learning models using frameworks like TensorFlow and PyTorch on AWS infrastructure.
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PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of experience managing people At least 5 years’ experience in Python, Scala, or R for large scale data analysis At least 5 years’ experience with machine learning.
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B.E. B. Tech M. Tech/ ClientA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented.
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deep learning open source jobs Title: data scientist in Phenix-city, Alabama
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