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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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sharing and permissions, dynamic forms, Experience Cloud, and Apex enterprise architecture including asynchronous Apex, triggers, logging, and testing, are a must. The position will also have regular
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permissions, dynamic forms, Experience Cloud, and Apex enterprise architecture including asynchronous Apex, triggers, logging, and testing, are a must. The position will also have regular involvement with
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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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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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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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Bachelor's degree Additional Qualifications and Skills: Knowledge of and experience working with a CRM (Salesforce preferred) and an email/messaging platform (Marketing Cloud preferred). Exceptional written
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Bachelor's degree Additional Qualifications and Skills: Knowledge of and experience working with a CRM (Salesforce preferred) and an email/messaging platform (Marketing Cloud preferred). Exceptional written
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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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candidates who bring experience with one of the following: Programming and Data Handling: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong