AI/ML Validation Engineer - Data Modeling

<p><p>- Experience : 3 to 6 Years<br/><br/></p><p>- Notice Period : Immediate or Less than 1 Month<br/><br/></p><p>- Location : Bangalore</p><br/><p><b>Key Responsibilities : </b><br/><br/>- <b>Model conversion pipelines (e.g., PyTorch ONNX)</b><br/><br/>- Inference runtimes : ONNX Runtime, TensorRT, ROCm/HIP<br/><br/>- Toolchains and compilers like TVM, XLA, Vitis AI, XDNA<br/><br/>- <b>Kernel execution, memory transfer, and result validation</b><br/><br/>- Profile ML workloads and optimize for performance.<br/><br/>- Work on validation plans across software lifecycle stages.<br/><br/>- Collaborate with cross-functional and global teams on end-to-end AI/ML pipeline validation.</p><br/><p><b>Required Skills : </b><br/><br/>- <b>Strong hands-on experience with Linux (Ubuntu) and Yocto.</b><br/><br/>- Solid understanding of machine learning concepts : deep learning, LLMs, recommender systems.<br/><br/>- Proficiency with Python programming.<br/><br/>- <b>Experience in ML frameworks : PyTorch, TensorFlow, ONNX Runtime.</b><br/><br/>- <b>Experience profiling AI/ML workloads.</b><br/><br/>- Prior exposure to GPU/Accelerator validation stacks (HIP, CUDA, OpenCL, OpenVINO).<br/><br/>- Familiarity with production-level QA methodologies and defect lifecycle management.<br/><br/>- Excellent analytical and problem-solving skills.<br/><br/>- Strong communication skills and sense of ownership.</p><br/></p> (ref:hirist.tech)