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Backend Engineer - ML Frameworks and Infra

Shopee

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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
TensorFlow
Kubeflow
XGBoost
PyTorch
HBase
NumPy
Spark
C++
Hadoop
Go
Python
Java

Job Description


Apply
  • Collaborate with product managers and data scientists to conceptualise, research, and build high performance and scalable machine learning solutions
  • Develop infrastructure, tooling, and frameworks to streamline development and deployment of machine learning models
  • Apply domain knowledge in machine learning and software engineering to contribute to various projects, including but not limited to:
  • MLOps
  • ML model training platform
  • ML model serving

Requirements

  • Bachelor's Degree in Computer Science or related technical discipline
  • In-depth understanding of computer science fundamentals including algorithms and data structures
  • Experience in one or more programming languages (Go, C++, Java, Python)
  • Experience in developing and deploying machine learning or other web backend services
  • Experience in common machine learning frameworks (numpy, scikit-learn, xgboost, Tensorflow, PyTorch)

Skills Optional But Preferable

  • Experience in building and optimising big data pipelines
  • Experience in distributed databases or systems (Hadoop, Spark, HBase)
  • Experience in Kubeflow or similar machine learning platforms
  • Experience in one or more model serving frameworks (Tensorflow Serving, TorchServe, TensorRT, NVIDIA Triton Inference Server)

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