Machine Learning Deployment Specialist

1 week ago


Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 15,000 - ₹ 28,00,000

Deploy and Optimize Machine Learning Models

  • A high level of expertise is required in deploying and optimizing machine learning models in production, particularly with a focus on deep learning models.
  • Familiarity with asynchronous inference APIs such as FastAPI, gRPC, and Ray Serve is essential.
  • Understanding of PyTorch internals and optimization techniques at inference time is crucial for success in this role.
  • Knowledge of large language model (LLM) runtimes including vLLM, TGI, TensorRT-LLM, and ONNX Runtime is necessary.
  • Experience with GPU profiling tools like nsight and nvtop, as well as model quantization pipelines, is also desirable.

Key Responsibilities:

  • Design and implement efficient machine learning models for deployment in production environments.
  • Collaborate with cross-functional teams to ensure seamless integration of models into existing systems.
  • Develop and maintain high-quality code for model deployment and optimization.

Requirements:

  • 3+ years of experience in deploying and optimizing machine learning models in production.
  • 1+ year of experience in deploying deep learning models.
  • Familiarity with LLM runtimes: vLLM, TGI, TensorRT-LLM, ONNX Runtime etc.
  • Familiarity with GPU profiling tools (nsight, nvtop), model quantization pipelines.


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