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Urgent! Validation Automation Engineer - Python - Local Job Opening in Bengaluru

Validation Automation Engineer Python



Job description

<p><p>Role : Validation Automation Engineer<br/><br/>We're looking for a skilled Validation Automation Engineer with 3-6 years of experience to join our team in [Insert Location].

The ideal candidate will have a strong background in machine learning validation and be proficient in Python with expertise in Linux/Yocto.<br/><br/>- Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime.

</p><p><p><br/></p><p>- 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.

</p><p><br/></p><p>- 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 </p><p><br/></p><p>- Strong background in python programming.

</p><p><br/></p><p>- Excellent problem-solving skills and willingness to think outside the box.

</p><p><br/></p><p>- Experience with production software quality assurance practices, methodologies, and procedures </p><p><br/></p><p>- Strong ownership of deliverables, Excellent communication skills and experience working with global teams.</p><br/>Key Responsibilities : <br/><br/>- Develop and execute validation plans for AI/ML compute stacks, including but not limited to HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow/PyTorch integrations.<br/><br/>- Validate end-to-end AI pipelines, covering model conversion (e.g., PyTorch to 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.<br/><br/>- Profile ML workloads to identify performance bottlenecks and areas for optimization.<br/><br/>- Develop and maintain robust Python automation scripts for validation test suites.<br/><br/>- Work within a Linux/Yocto environment.<br/><br/>- Collaborate with global teams to ensure product quality and a seamless software development lifecycle.<br/><br/>- Debug and troubleshoot complex issues related to AI/ML software.<br/><br/>Required Skills & Experience<br/><br/>- 3-6 years of experience in software validation or a related field.<br/><br/>- Strong background in machine learning fundamentals, including deep learning, large language models, and recommender systems.<br/><br/>- Proficiency in Python programming is a must.<br/><br/>- Extensive experience with Linux and Yocto.<br/><br/>- Hands-on experience with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime.<br/><br/>- Experience with production software quality assurance practices, methodologies, and procedures.<br/><br/>- Excellent problem-solving skills and a proactive, ownership-oriented approach to deliverables.<br/><br/>- Strong communication and collaboration skills for working with global teams.</p><br/></p> (ref:hirist.tech)


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