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Understanding of Machine learning, data modeling and perform advanced analytics. 3 - 5 years' experience working with the following: Senior level expertise in at least one of the following (in order of desirability): F5 (SSLO, ASM, ATM), McAfee Web Gateway, McAfee DLP, FireEye (NX/VX/CM.
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Manage the teams risk and compliance initiatives to ensure compliance to all laws, rules, and regulations, in addition to Bank internal policies and standards. This job is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards and policies.
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Job Description: Data Engineer. Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. End to End testing, deployment, Product support and Defect fixes.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Certifications such as Foundry Application Developer Foundry Data Analyst, Foundry Data Engineer a plus. Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
$200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
$278,875 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The Intelligent Foundations and Experiences (IFX) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
$165,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Strong technical skills and expertise in cloud platforms (AWS, Azure), data warehousing, ETL processes, data engineering tools, data governance, and machine learning technologies.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We are looking for a software engineer mid for NGIC in Charlottesville, VA. At least an undergraduate degree in computer science, computer engineering, electrical engineering with a focus on micro/digital electronics, or computer forensics.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services like Glue) on medium to large scale datasets. Build the next generation Distributed Data Pipelines using programming languages like Python.
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machine learning data engineer jobs in Richmond, VA
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