• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 25th Dec 2020

1) Take MLPerf's RNN-T model and port it to run end-to-end on Tensorflow 1.3

2) Provide end-to-end trained models and first pass quantized models (int8 or FP16) for:

         a) Mask-RCNN

         b) GNMT

3) Set up end-to-end training flow for MLPerf benchmark suite. On V100 AWS setup:

         a) Resnet, SSD-Resnet, BERT, RNN-T, GNMT

         [fairly straight-forward task starting off of what MLPerf provides]

client is looking help in the Machine Learning area with analyzing various deep learning models and model training and inference in cloud environment  such as AWS, Google Cloud Platform

Other expected area of expertise -

·         Awareness of broad ML issues, such as overfitting reduction and quantization

·         Experience with the Tensorflow framework

·         Expert Python programming experience; experience  with C/C++ a plus

·         Experience in dataset pre—processing is a plus

·         Experience in cloud environments including AWS, GCP, and docker is a plus

·         Familiarity with other machine learning frameworks such as PyTorch, ONNX is a plus