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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge
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. Qualifications A PhDin Information Security, Cybersecurity, Computer Science, or a closely related discipline is preferred. Candidates should have relevant industry experience in cybersecurity, ideally in roles
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-edge cloud ERP technology in a dynamic higher education environment. The successful candidate will join a collaborative ITS team committed to protecting university data while enabling institutional
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complex business needs into scalable AI solutions. Experience in the consulting industry is preferred. 2. Education & Experience Ph.D. (strongly preferred) or Master’s degree in Computer
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language processing, computer vision. AI model governance, explainability, and regulatory compliance. Data and AI ethics, privacy, and security Cloud AI platforms, AI ops, MLOps, and data engineering pipelines. AI
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in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a minimum of 3 years
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, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type Academic Position Type Academic
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Access Management Engineer contributes to the Identity and Access Management (IAM) program at Northeastern University’s global campus system. The Principal Identity Access Management Engineer is
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, Blockchain, Cloud Computing, Software Engineering, as well as Data Architecture & Engineering. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected