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Validation Automation Engineer - Python

Validation Automation Engineer - Python

MaimsD TechnologyBangalore
18 days ago
Job description

Role : Validation Automation Engineer

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.

  • 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.

Key Responsibilities :

  • 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.
  • 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.
  • Profile ML workloads to identify performance bottlenecks and areas for optimization.
  • Develop and maintain robust Python automation scripts for validation test suites.
  • Work within a Linux / Yocto environment.
  • Collaborate with global teams to ensure product quality and a seamless software development lifecycle.
  • Debug and troubleshoot complex issues related to AI / ML software.
  • Required Skills & Experience

  • 3-6 years of experience in software validation or a related field.
  • Strong background in machine learning fundamentals, including deep learning, large language models, and recommender systems.
  • Proficiency in Python programming is a must.
  • Extensive experience with Linux and Yocto.
  • Hands-on experience with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime.
  • Experience with production software quality assurance practices, methodologies, and procedures.
  • Excellent problem-solving skills and a proactive, ownership-oriented approach to deliverables.
  • Strong communication and collaboration skills for working with global teams.
  • (ref : hirist.tech)

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