Posted:None|
Platform:
Work from Office
Full Time
Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems.
Strong background in validation, defect and software development life cycle
Strong knowledge on ubuntu / yocto linux
Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime.
Experience in profiling ML workloads
Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow/PyTorch integrations.
Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm/HIP), compilers/toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results
Strong background in python programming.
Excellent problem-solving skills and willingness to think outside the box.
Experience with production software quality assurance practices, methodologies,
and procedures
Strong ownership of deliverables, Excellent communication skills and experience working with global teams
Capgemini
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