104 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" positions at Carnegie Mellon University
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malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
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App 3. Incorporating new functionalities in the app and improving the App 4. Working closely with collaborators and maintaining upto date updates about projects, including code bases 5. Contributing
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Temporary Data Engineer (with Apache Airflow 2.0 and 3.0 experience) - Temporary Employment Services
. Pipeline Development: Modify and develop complex data applications and system programs based on detailed technical specifications. Quality Assurance: Code, test, and debug programs to ensure data integrity
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containerization and virtualization technologies, including VMware, VirtualBox, PodMan, and Singularity. Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and infrastructure-as-code practices
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with building codes Other duties as assigned Flexibility, excellence, and passion are vital qualities within the department of Facilities Management. Inclusion, collaboration and cultural sensitivity
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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with professional engineers and researchers Willingness to learn new technologies with cross-functional teams Potential to analyze code and system architectures to identify vulnerabilities Skills in
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; comfortable developing production-grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors