Machine Learning Engineer
1 week ago
Responsibilities :
- Design and develop performance optimization techniques for machine learning (ML) models to run efficiently on Client hardware.
- Develop and maintain software that efficiently deploys ML models built on various ML frameworks (pytorch, tensorflow, caffe2, etc.) to Client hardware.
- Collaborate and communicate with the other teams that work on hardware level implementations and optimizations for the various ML operations/layers.
- Follow agile software development methodology, unit testing and continuous integration.
Requirements :
- Strong hands-on experience in training and inference of ML models using ML frameworks like Pytorch, Tensorflow, etc.
- Excellent programming skills in Python, C/C++
- Good Knowledge on neural network workings.
- Good Knowledge of mathematical computations/workings of the most commonly used neural network layers.
- Familiarity on the workings and basic architecture of various ML models related to computer vision, NLP, autonomous driving, etc.,
- Familiarity with neural network performance optimization techniques including but not limited to quantization, pruning, etc.,
- Familiarity with ONNX is a plus.
- Familiarity with SIMD Computer Architectures is a plus.
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