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Strong background in computer science, mathematics, or related fields, with expertise in machine learning, deep learning, computer vision, natural language processing, and understanding of world model architectures.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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I'm supporting a brilliant company in Houston that are building a brand new Data and Analytics team to utilize cutting edge technology focused around Machine Learning and Artificial Intelligence.
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Perform complex tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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To fully unlock programmability of RNA medicines, Sail is building a general purpose artificial intelligence (AI) platform to engineer translatable eRNA payloads as well as deployment nanoparticles to shuttle payloads to specific cells of interest.
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Experience using machine learning, predictive modeling, statistical analysis, data visualizations, and/or artificial intelligence towards healthcare, biomedical, and/or public health objectives.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency-s (DIA) National Media and Exploitation Center (NMEC) architecture 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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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications.
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Enjoys learning across the tech stack, from new developments in DevSecOps and automation to machine learning and artificial intelligence. The AI/MLOps Engineer (AMOE) is an applied solutions expert who combines working knowledge of software engineering, machine learning, and DevOps best practices.
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Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients is seeking a full-time Azure DevOps Engineer.
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V-Soft Consulting is currently hiring for an AI/Machine Learning Ops Engineer for our premier client in Auburn Hills, Michigan. Experienced in IaC and cloud deployment. Technical certifications, particularly ones related to DevOps (CKA, CKS, RHCSA, etc.
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Familiar with model deployment techniques (e.g., Docker, Kubernetes) and CI/CD pipelines tailored for machine learning models. Ability to build efficient, data-driven artificial intelligence systems that advance predictive analytics and LLM capabilities.
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Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence, Machine Learning or software engineering.
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