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Job Title: Data Engineer / Google Cloud Platform Developer (AI/ML Focus) Location: Greater Washington, DC Area (On-site 3 days per week) Position Type: Full-time Experience Level: 2-5 years Job Description: We are seeking a talented and dynamic Data Engineer / Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence / Machine Learning) capabilities.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
$209,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with conducting research and the implementation of the latest advancements in machine learning to analyze and process large-scale spatio-temporal data. Ability to work with clients to deploy machine learning systems in existing networks using virtual machines or containerization.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them. The Senior Security Engineer II will be responsible for designing, implementing, and maintaining security services that support our business.
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Experience with health-tech systems, like Electronic Health Records, Clinical data, etc preferred. Knowledge of health-tech systems, like Electronic Health Records, Clinical data, PHI, etc., direct experience preferred.
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San Francisco, 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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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations 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.
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Become an expert in all areas of development within our graph data team and work on cross-functional projects including Natural Language Processing, Machine Learning, and AI techniques driven from our cutting edge platform.
$250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred.
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The ISGL will also work with the QOI Department Head and Chief Engineer to expand MITRE’s work program into areas including physics machine learning models, remote sensing, and smart cities and transportation systems.
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machine engineer jobs in Washington, DC
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