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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
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3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Center 2 (19050), United States of America, McLean, VirginiaLead Machine Learning Engineer, Finance TechAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Experience with Azure Services (Power BI) and AWS Services (S3, SNS, SQS, Lambda, API Gateway, EC2, ECR, ECS) preferred. Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Center 1 (19052), United States of America, McLean, VirginiaLead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, PySpark, SQL)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale. Lead Machine Learning Engineer, Finance Tech.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java and Python and working within Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Machine Learning Engineer (Python)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Experience with cloud platforms like Google Cloud and AWS and full-stack development tools (React, Node.js, etc.) Experience with Python and AI development frameworks (TensorFlow, PyTorch) is preferred.
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The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply.
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