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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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The ideal candidate will have a deep understanding of ITSM processes and a strong background in implementing automation solutions, advanced analytics, machine learning, and chatbot technologies.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Credence has an immediate need for a Senior Advanced Analytics - Artificial Intelligence (AI)/ Machine Learning (ML) Lead/Engineers/Developers/SME to join our growing and Automation practice.
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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. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
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ALTA IT Services is seeking a Machine Learning Engineer to join our client on a multi year contract basis. Machine Learning Engineer. Using data science and machine learning analytics, develop models and insights to support risk-based operational decisions for the organization.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Help partners identify and assess customer Artificial Intelligence (AI), machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to discover cloud solutions to recommend, plan, and address core market opportunities and use cases.
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Experience in R, Python or similar applicable programming languages, with some experience utilizing Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques. SAIC is seeking a mid to senior level Electrical Engineer with a passion for electrical design methods, electrical CAD tools, and Digital Engineering interests to join our energized Engineering Innovation Factory Team of solution architects, digital engineers, and core engineers to define and build the infrastructure that fuels the Digital Engineering Transformation across our entire industry.
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Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components. Data Platform Engineer.
$84,600 - $193,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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 AWS User Experience Products & Platform team is a multi-disciplinary team comprising members from different areas - UX Research, UX Design, User Insights & Analytics, Machine Learning, Natural Language Processing, Secure/Available/Scalable (at AWS scale) services, and Web/Mobile/Conversational User Interfaces.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Knowledge of statistical analysis, predictive modeling, and machine learning methods. Apply for Data Engineer. Experience in working with various intelligence disciplines, including GEOINT, HUMINT, MASINT, OSINT, and SIGINT, including the data and tools associated with these disciplines.
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machine learning engineer jobs in Fairfax, VA
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