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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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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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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. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a foreign national may require an export license from the U.S. Government.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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Cutting-Edge Machine Vision*: We're in the business of AI and data science. Cutting-Edge Machine Vision: We're in the business of AI and data science. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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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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Lead and manage data science, data modeling, machine learning, AI Ops, and ML Ops service offerings to our customers. 15 years of prior experience in leading and scaling a data engineering organization, and overall data and analytics functions (e.g. data planning, data governance, data management, data visualization, machine learning, AI, etc.
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Incorporate machine learning capabilities to enhance Explosive Ordnance Disposal (EOD) and Recovered Chemical Warfare Material (RCWM) applications to streamline business processes. Incorporate applications that promote machine learning / artificial intelligence.
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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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Demonstrating experience with Agile development frameworks, having lead to completion projects that involved Requirements, Design, Build, Test, Deploy, and Support;Leading and development of proposal content and technical solution questions in response to RFPs;Working with the leadership teams and peers across pursuits, pre-sales activities, and delivery of engagements; and,Working in an onshore-offshore environment and in coordinating activities across time zones.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Analysis, design and implementation of country-level health architectures, including knowledge of relevant technical standards for digital health such as ICD10, HL7, SNOMED and OpenHIE.
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machine learning technical lead jobs Title: data engineer Company: Amazon in Arlington, VA
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