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AI Framework Engineer
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- Makes high-level design choices focused on feasibility, manageability, scalability, usability, resiliency, availability, security, and or safety for the software structure, protocols, and algorithms.
- AI/ML/Distributed-Systems/Network-Architecture, including experience with one or more AI frameworks (TensorFlow, PyTorch, Caffe).
- Unix/Linux operating systems especially with virtual containerized environments (docker, conda).
- Multi-node cluster setup and orchestration (Kubernetes); CI/CD tools and methodologies.
- Research experience in deep learning, machine learning, graph analytics, and numerical analysis.
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