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Model Service and Innovation Engineer

Model Service and Innovation Engineer

China Mobile International LimitedKuala Lumpur, Kuala Lumpur, Malaysia
1 hari lalu
Penerangan pekerjaan

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Responsibilities

  • Responsible for optimizing, compressing, and accelerating trained large models, and deploying them as high-performance inference services.
  • Design and optimize inference service deployment architecture to improve performance, reduce costs, and ensure the efficient operation of models in the Intelligent Computing Center.
  • Develop core components of the model service platform (MaaS) to promote automated deployment, elastic scaling, and service governance.
  • Keep track of new large models and algorithm technologies, explore innovative application scenarios, and promote their engineering implementation.
  • Participate in technical docking with vendors and customers and provide model service solutions and performance optimization support.
  • Write technical documents to support platform productization and continuous iteration.

Qualifications

  • Bachelor\'s degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related majors.
  • Proficiency in English, capable of reading cutting-edge papers and international technical documents, and supporting cross-border collaboration.
  • Familiar with mainstream deep learning frameworks (PyTorch, TensorFlow) and model inference tools (TensorRT, ONNX Runtime, OpenVINO, etc.).
  • Master model compression and optimization technologies (quantization, distillation, pruning, parallel inference).
  • Have experience in developing large-scale distributed inference and service-oriented architectures (Kubernetes, microservices).
  • Familiar with GPU / heterogeneous acceleration (CUDA, ROCm, domestic GPU SDK) and high-performance computing optimization.
  • Experience in cloud-native R&D (K8s, Docker, service mesh Istio, etc.) is preferred.
  • Experience in researching large model application innovation (AIGC, intelligent customer service, industry AI solutions) is preferred.
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Information Technology
  • Industries

  • Telecommunications
  • #J-18808-Ljbffr

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