REQUIRED SKILLS :

- 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