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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 applications and systems at scale. 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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American Heart Association CPR Certification, NCCPA Certification, Maryland PA License, ACLS, BCLS and NIH Stroke Scale Certification, Maryland CDS Registration. Is cooperative and collaborative in the performance of duties as needed to promote a unified workplace.
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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. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models 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). Transform complex analytical models into scalable, production-ready applications using modern cloud-based technology and large scale data platforms.
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Shall have experience diagnosing and troubleshooting large scale cloud computing systems including familiarity with distributed systems for storage and retrieval of data e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High performance computing.
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Own, drive, document, and manage Shift5 s competitive intelligence strategy:Create comprehensive profiles and battlecards of competitors, detailing their products, services, market share, financial performance, strategies, and key personnel.
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Other experience that could benefit the candidate: Prometheus, JIRA, Hadoop Distributed File System (HDFS), Virtualization, Salt, Grafana, Openstack and AWS. This position is shift work or on-call. The Analytic Hosting Platform team is searching for a Cloud System Administrator 1 to work in a cloud environment platform, built with Java on Free and Open Source Software products including Kubernetes, Hadoop and Accumulo, to enable the execution of data-intensive analytics on a managed infrastructure.
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Familiarity with software load balancers for large scale webservice implementations including haproxy and nginx. Additional knowledge of Docker, Kubernetes, Hadoop and scripting experience such as python and bash is beneficial.
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Performance in a fast-paced mission environment where requirements change on a daily basis due to operational and world events. Shall have demonstrated a willingness to learn new technologies and leverage senior level resources to expand current technical foundation using team structure.
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8-10 years of experience as a BA Analyst/UX designer, information architect, interaction designer, or similar role working on large-scale custom applications. Use qualitative and quantitative data to inform designs and solutions (web metrics, application performance metrics, focus groups, usability test results, client collateral, etc.
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Use Looker to dig into the data to analyze performance, identify trends, and find opportunities to improve performance. Manage, analyze, optimize and scale current landing pages to increase revenue and margin across Paid Search, Social, and Native Channels.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You will act as full stack developer supporting a large-scale innovative project that involves the design, implementation, deployment, and high-performance tuning of large datasets in graph databases to provide unique and powerful visualizations for customer mission impact.
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Our team has built a reputation for products that incorporate image processing, image manipulation, large-scale disk and database access, fast and intuitive GUI design, and robust performance into highly productive applications.
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The successful candidate will have a broad-based background in Java, Python, and Data Science and can assist the customer’s data scientists with implementing analytics and improving performance at scale.
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Ten or more years of experience in remote sensing applications across multiple operating domains (air, land, sea, space, cyber)Ten or more years of experience developing Ground systems across multiple operating domains (space and tactical implementations)Five or more years of experience supporting development of mission-level campaign concepts of operations and Enterprise scale systems architectures.
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