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AWS cloud and HPC environments, including large-scale model training, profiling, debugging, scaling, cost/performance tuning, reliability, CI/testing, packaging, deployment, reproducibility engineering
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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Cloud—utilizing the platform to nurture leads and engage key clients across communications and events. This role will play a critical part in executing a business-to-business (B2B) marketing strategy
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and cloud environments for hundreds of laboratories worldwide. Our Capsule Software Execution Environment (“Capsules”) isolates every application with its exact dependencies, providing zero
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negotiation, and technology lifecycle management. Systems, Infrastructure, and Security Provide executive oversight of HGSE’s systems and infrastructure, including cloud services, identity and access management
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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direction of the Director of Research Computing and Data Services, and in close collaboration with LRS research enablement staff. You will partner with Harvard’s cloud vendors, the HKS research community, HKS
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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, Python, SQL, and related languages. Experience with AWS (RDS, EC2, S3, etc.) preferred or with Azure or Google Cloud. Experience with supervised and unsupervised ML methods. Advanced Statistical Expertise
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needs, coordinate order of work and manage timeline constraints. Stay current on new and emerging technologies (hardware/software/cloud platforms) and recommend solutions Provide expert consultation