DNN Model optimization Expert Engineer

Responsible for design and implementation of neural acceleration platform with support for accelerating the networks on one or more processing units.

Lead, design & develop machine learning algorithms for use case realizations in mobile devices.

Ensuring team is building high quality code via a predicable process.

Along with product owners, Managers, and team leads to refine and prioritize the work backlog

Identify opportunities to leverage the capabilities of existing platform to take it to the next level.

Ph.D in machine learning or a related field; or advanced degree and equivalent industry experience.

Experience in model optimization using compression/Quantization and Neural architecture search and also having good knowledge on LLM and LVM specifically for ondevice.

Theoretical & practical knowledge of machine learning/ deep learning experience. Excellent track of research excellence, publications & patents.

Proficiency in Python, Linux, C++, various shallow/deep learning framework (Pytorch/Tensorflow/AI-Edge)

Proficiency in machine learning algorithms, statistical analysis, quantitative analysis and deep learning algorithms like convolutional neural network, recurrent neural network etc.

Expertise in knowledge in writing multi-threading, multicore (Task parallelization, TPL, GPU) programs.

Excellent knowledge in processor architectures (ARM (big.LITTLE.) (v7 & v8))

Expertise in one of the server side machine learning frameworks.

Prior experience on distributed computing, compiler development & understanding of low level optimizations is added advantage.