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We design, build, implement, and manage advanced analytics and visualization solutions that leverage our deep expertise in Analytics Process Automation (APA), Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) to enable our clients to achieve success through robust, durable solutions.
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Knowledge of methodologies for deep learning, computer vision, NLP, or signal processing machine learning development. As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data.
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Have skills and experience with signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence techniques.
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Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:The GCP Cloud Data & AI Practice Architect possesses 5+ years of experience developing and architecting with GCP solutions and 10+ years in the Machine Learning, Advanced Analytics, Data Engineering and Data Governance.
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Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred. Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred.
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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. No Division Teaching and Learning (Div) - NEW Department Health, Science, & Technology HST - NEW Posting Detail Information Posting Number B388P Number of Vacancies 1 Best Consideration Date 07/18/2024 Job Open Date 07/08/2024 Job Close Date Open Until Filled Yes Job Category Faculty Benefits Summary Howard Community College offers competitive salaries, excellent medical and dental selections, tuition reimbursement and paid leave programs.
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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.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in delivering machine learning results from cloud packages such as AWS Sagemaker, Google Vertex AI, or equivalent. Utilized infrastructure as code within one of the cloud environments – AWS CDK, Terraform, or equivalent.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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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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Mathematical background in areas such as statistics, linear algebra, complex analysis, differential equations, Monte Carlo methods, numerical methods, and machine learning (ML) or artificial Intelligence (AI.
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CenCore Group strives to be the trusted and primary source for insight, analysis, and implementation of physical and digital security solutions associated with the development of artificial intelligence and machine learning in the NatSec space.
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This is a role that will provide the opportunity to develop skills and experience in Machine Learning, Artificial Intelligence, and a wealth of data engineering initiatives. Sealing Technologies is seeking a Senior Cybersecurity Analyst to aid in the development and maintenance of a Machine Learning platform for a DoD Customer.
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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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The application will also provide capabilities for global collaboration and use artificial intelligence/machine learning to generate intelligence recommendations. Use back-end technologies such as SQL-lite Database, ElasticSearch, Solr, Structured Query Language (SQL), and Server-Side Languages (Java, etc.
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machine learning jobs in Annapolis Junction, MD
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