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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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The Leidos Digital Modernization Sector Health IT Division is seeking a Senior Cloud Solution Architect/Technical Lead with extensive knowledge and expertise in Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) technologies and architecture.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Secure and expertly apply the latest technologies to advance the mission as a Lead SME Cloud Architect with GDIT. Your work in enterprise IT will provide Architecture and Solution Design, Engineering, Implementation and Operational Support Services to design, engineer, implement and maintain emerging, evolving, and developing Information Technology (IT) strategic solutions for our customer's enterprise.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
$150Full-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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The Senior Cloud Solution Architect/Technical Lead will play a pivotal role the cloud migration journey for Federal Health customers, and will design, implement, and optimize cloud-based solutions on the AWS, Azure, and GCP platforms, ensuring a scalable, secure, and high-performing infrastructure that aligns with end user research and operational needs.
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The Senior AWS Solution Architect will play a pivotal role the cloud migration journey for Federal Health customers, and will design, implement, and optimize cloud-based solutions on the AWS platform, ensuring a scalable, secure, and high-performing infrastructure that aligns with end user research and operational needs.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Active architect certification in another major SaaS platform or middleware (e.g., Salesforce, ServiceNow, MuleSoft, Appian, Palantir, Databricks.
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TEBS Cloud Solution Architect, Chief Information Security Officer, Chief Digital Officer, Chief Technology Officer, Enterprise Architect and other key TEBS and Departmental. MFA and keyfob deployment using Microsoft Azure AD.
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The Machine Learning Engineer will support the development and deployment of machine learning models for cyber missions and targets. Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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Implement and develop machine learning-based protein design solutions for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, scaffold optimization, library design, immunogenicity and other protein engineering challenges.
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deployment machine learning solution architect jobs in Glen Echo, MD
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