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Über
Design, build, and maintain scalable data pipelines and computational workflows for research support Consult with faculty and researchers on project scope, data architecture, and computational strategies Develop and deploy AI/ML models and tools aligned with environmental science and sustainability
Required Qualifications
Master's Degree in computer science, data engineering, statistics, or related field with a minimum of 4 years of experience Strong software engineering fundamentals in Python and proficiency in R or SQL Experience in designing and deploying data pipelines and computational workflows in research environments Experience with machine learning, AI model development, and cloud platforms (e.g., AWS, Azure) Familiarity with containerization and reproducible research environments
Sprachkenntnisse
- English
Hinweis für Nutzer
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