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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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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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). 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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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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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
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are seeking 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