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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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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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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. 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.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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As a Senior Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning. 5+ years of experience performing data science and analytics, such as: data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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Software – a focus more on “industrial/scientific ” software rather than “retail/consumer” such as blockchain - algorithms, machine learning, artificial intelligence, educational. Imaging and non-destructive testing (microscopy/spectroscopy, CT, X-ray.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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customer service machine learning jobs Title: manager in Alexandria, VA
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