Interesting Opportunity Machine Learning Engineer - Computer Vision

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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