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Intel AI Software Solutions Engineer Validation India, Karnataka, Bengaluru 964973548
� Bachelors / master's degree in computer science, Electronics Engineering, Mathematics, or related field of study.
� Experience Level: 4 yrs to 9 yrs
� Execution of ML/DL/AI models on PyTorch or MxNet frameworks or any other Franework, integration to proprietary validation frameworks, loss and performance analysis, regression tracking .
� Expertise in numeric analysis, loss/accuracy, and performance debug in validation Environment
� Strong experience in DL with Python, NumPy, Scikit, Pandas, PyTest and/or Google Test framework for validation.
� Strong C++ programming skills (C++11, STL)
� Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues.
� Candidate should be quick in automation for efficiency improvement.
� Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews
� Proficiency in dockers, Kubernetes, ansible, VM's
� Experience in distributed training/inference (scale up and scale out, hpc/gpu) scenarios with expertise in test scenario development, debug, tools, performance/accuracy measurement, open-src distributed suite handling, fabric - Ethernet/InfiniBand etc, protocols - mpi/pytorch-launcher/torchrun/horovod/deepspeed etc.
� Expertise in the validation of deep-learning dataloaders and datasets, understanding of dali and image/video codecs like jpeg/h264/hevc/av1, image augmentation, image processing, quality assessment (psnr/ssim), ffmpeg, encoder bit-rate control etc.
� Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release.
� Problem-solving skills, quick learner and a can-do attitude are the key in this role.
� Experience in working closely with development, Architecture and DevOps teams.
� Fluent English writer/speaker.
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