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Apogee is actively seeking a full-time Artificial Intelligence/ Machine Learning (AI/ML) Subject Matter Expert working for the Department of Homeland Security's Advanced Computing Branch supporting the Department of Homeland Security (DHS) Science and Technology Directorate within the Data Analytics Technology (DTC) in Washington, D.C. This position is fully remote.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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A highly motivated data scientist, machine learning engineer, or experienced software engineer looking to transition into machine learning. 3+ years relevant applied experience in data science, machine learning, computer vision, or NLP (or very strong engineering skills and the ability to learn quickly.
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The ideal candidate will have a strong background in predictive modeling, machine learning, and statistical modeling, with a keen interest in applying these skills to influence company-wide strategy and operations.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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. Machine Learning Engineer.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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The role involves working on patent prosecution cases related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), and machine learning/artificial intelligence with a hardware security emphasis.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Design, build, and maintain scalable, fault-tolerant, and efficient data pipelines and infrastructure for machine learning operations (MLOps) leveraging AWS technologies such as Lambda, Glue, EMR/Spark, Step Functions, Airflow, DynamoDB and AWS Batch.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.
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In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/Machine Learning (ML) systems that solve complex business problems.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$134,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Are you excited to help the Intelligence Community (IC) to leverage massive amounts of data in developing Machine Learning (ML) and generative AI? You will be familiar with the ecosystem of software vendors in the AI/ML space, in areas such as Natural Language Processing (NLP), classification modeling, unsupervised learning, generative AI and image recognition as well as be able to operate in Python data science environments.
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Familiar with artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to help usher in new ways of working that saves time and money while advancing capabilities.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
machine learning data operations jobs Title: data engineer machine learning in Washington, DC
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