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Our team applies diverse disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Documentation: Maintain detailed documentation of machine learning operations processes and best practices.
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As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at lease one mid-level language (e.g., C.
$131,835 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leidos is hiring for a Senior Machine Learning Software Engineer in Columbia, MD. You will serve on a mission-critical project that will leverage your skills to ensure delivery of a premier Security Operations Center (SOC) prototype solution to the customer.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud computing (AWS preferred) or artificial intelligence (AI) and machine learning (ML) is desired but not necessary for applying. This position serves as part of an interdisciplinary team of faculty teaching programming, security, networking, digital forensics, and cloud security operations.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Database design/operations/maintenance, reverse engineering, data normalization and cleansing, scripting, data analysis and visualization, data security.
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Description SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Bachelor's degree in Operations Research, Applied Mathematics, or Data Science. 1+ years of experience in statistics, operations research, or advanced mathematics. Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Degree must be in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering etc.
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Proven leadership experience in machine learning operations, including managing teams responsible for model deployment, monitoring, and maintenance. Machine learning operations project experiences with relevant experience in SageMaker.
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Advanced knowledge and understanding of various software and technologies relevant to machine learning, artificial intelligence, operations research, pattern mining, natural language processing, statistics, etc.
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operations machine learning jobs in Hanover, MD
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