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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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Docker, Kubernetes, AWS, Azure, Linux, Elasticsearch, Elastic Stack, Logstash, Kibana, Beats, Prisma Cloud, Tanzu, IaC, CaC. Hands-on experience with managing and configuring Cloud Management Console with Command Line (CLI) and tools for DoD Cloud Amazon Web Services (AWS) or Microsoft Azure.
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You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software systems, and/or biomedical signal processing. Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data.
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We are seeking a computational physicist, computational scientist, or applied mathematician to fill the role of a high-performance computing computational physicist. Background in computational physics, scientific computation, or high-performance computing.
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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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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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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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Proficiency in cloud computing platforms (AWS, Azure, Google Cloud, or Oracle Cloud), distributed systems, and microservices architecture. Proficiency in multiple programming languages, cloud computing, distributed systems, and microservices architecture; In-depth knowledge of system architecture, design patterns, and best practices.
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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), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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As a Software and Data Engineer, 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, quantum computing, machine learning, and artificial intelligence.
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Python, Java, Perl, JavaScript, High Performance Computing, Pthreads, Open MPI, UPC, Bash, UNIX Command Line, Docker, Government, Software Developer, Programming, Programmer Analyst, Maryland Recruiters, IT Jobs, Maryland RecruitingLooking to hire for similar positions in Fort Meade, MD or in other cities.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 17, Kotlin, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Minimum of 5 years of Java Application Frameworks (i.e. Spring, Spring Boot, Spring Data, Spring Cloud, etc.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Junior Software Engineer on one of our subcontracts.
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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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One of our most challenging new fields is Microelectronics Design and Applications (MDA), which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems.
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operations machine learning cloud computing jobs Company: Ukg in Fort Meade, MD
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