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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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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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Soliel is seeking to hire a Linux System Administrator, who will administer a Linux-based DevSecOps Continuous Integration / Continuous Deployment (CI/CD) environment and a CentOS-based Open Container Initiative (OCI) compliant and Cloud Native Computing Foundation (CNCF) certified Kubernetes platform environment.
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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Desired: Cloud System Administration Certification (AWS or other cloud platform), Ansible automation, Experience working in an Agile and Scrum environment, Machine Shop Administration (NSA proprietary), Experience using Kibana or Splunk dashboards to monitor application activity, Risk Management Framework, Docker or Kubernetes containerization experience.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Computing Environment (CE) certification.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Knowledge of methodologies for deep learning, computer vision, NLP, or signal processing machine learning development. Experience with modern Cloud computing technologies, including Docker and Kubernetes.
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In this position, you will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization.
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Documentation: Maintain detailed documentation of machine learning operations processes and best practices. Familiarity with machine learning frameworks like TensorFlow or PyTorch.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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The DevOps Software Engineer shall be responsible for all the Operational and Maintenance (O&M) efforts including installation, configuration, integration, monitoring, and sustaining of a large multi-tenant containerized Kubernetes High Performance Computing as a service (HPCaaS) platform for a large Linux computing environment.
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Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Applied Mathematics, Machine Learning, Data Science, Computer Information Systems, Engineering, or related studies may be considered.
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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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Forget the typical software development firm, our client is a woman-owned innovator crafting cutting-edge solutions in Big Data, Data Science, and Cloud Computing for both government and commercial clients.
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operations machine learning cloud computing jobs Company: Sas Institute in Fort Meade, MD
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