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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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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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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development. + Machine learning experience, or experience working with data scientists and deploying ML models.
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Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development Qualifications: In addition to the standard SWE2 requirements, two positions require Java experience, one position requires Python experience and two positions require Artificial Intelligence, Machine Learning and Neural Linguistic Processing experience.
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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.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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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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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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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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Cyber Electronic Warfare and Space team is currently seeking an IT Specialist II in support of an exciting new effort supporting one of our clients that is responsible for unifying the direction of cyberspace operations, strengthening DoD cyberspace capabilities, and integrating and bolstering DoD's cyber expertise.
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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.
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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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Adapts artificial intelligence, including machine learning, to areas such as virtual/augmented reality, robotics, command and control, decision support, planning and other areas. Develops machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
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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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