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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques. Collaborate with data scientists and machine learning engineers to support model development through data preparation and analysis.
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Passionate about learning how to build, test, and deploy applications using modern CI workflow automations and PaaS/SaaS or containerized based deployment models. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$144,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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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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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
$210,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Zachary Piper Solutions is seeking a Mid- level Cyber Engineer to support a defense contract.
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San Francisco and San Jose, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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We are looking for expertise in areas such as large language models, computational linguistics, artificial intelligence, machine learning, machine translation, speech processing, information extraction, knowledge base population, cross-language information retrieval, identity matching and other areas of human language technology.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As an AI Systems Engineer, you will transform cutting-edge ML capabilities into applications that solve global challenges.
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Position Summary:As a senior machine learning engineer on our team, you will build machine learning capabilities using leading-edge technologies for important and challenging government problems and needs.
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learning job Title: engineer in Mclean, VA
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