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Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. machine learning We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Strong understanding and experience of Oracle HCM Cloud configuration and management tools like Page Composer, Alerts Composer, HCM Experience design studio, ESS jobs, Checklists and Journeys and Document Records.
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You’ll leverage your expertise in Arabic NLP and machine learning to design, train, and deploy models that accurately assess the complexity of Arabic text. Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML) , and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications.
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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.
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Certifications in AI/ML Technologies and Cloud platforms - AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, or Azure Solutions Architect.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Our firm has professional and administrative support staff that includes registered professional engineers, registered professional geologists, environmental scientists, registered roof observers, LEED accredited professionals, soil/foundation engineers, laboratory specialists, materials technicians, ICC-certified inspectors, NICET-certified technicians, and AWS-certified welding inspectors.
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Experience in data engineering, platform engineering, data integration, data observability, and AI/ML (Artificial Intelligence/Machine Learning) in Azure/Databricks. Extensive experience with data warehouse design, construction, and/or maintenance, to include design and implementation of data strategy methods, coding and documentation of scripts and stored procedures, and creation of index and view scripts.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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Experience withCloud Infrastructure (Azure, AWS, GCP), Azure DevOps, CICD (continuous integration and continuous delivery) systems and version control systems. This team drives state-of-the-art converged solutions, software tools, and automation to support silicon design areas such as Register Transfer Level (RTL) & Intellectual Property (IP)Design, Design Verification, Validation,Design for Test (DFT), Emulation, Physical Design Handoff and IP integratiom.
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Design, Migrate, & Support Oracle Cloud based Virtual Network SaaS components including OCI US Government and Federal environments. 5+ years of experience in Virtual Cloud Network technologies (OCI, Azure, AWS, GCS, etc.
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The department offers a Ph. D. in Teacher Education and Learning Sciences with specializations in Educational Equity; Educational Psychology; Elementary Education; Learning, Design, and Technology; Literacy and English Language Arts Education; and Social Studies Education.
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Collaborate with engineers to participate, contribute, and lead design discussions and write specifications; be a hands-on lead engineer consistently reviewing architecture, designs, quality, and drive re-use and best practice.
$125,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. We value our client relationships and are committed to learning and furthering the business, as well as legal goals, of each company we work with.
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machine learning aws design jobs Title: devops engineer in Raleigh, NC
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