AI / ML Validation Engineer - Data Modeling

Key Responsibilities

• Model conversion pipelines (e.g., PyTorch ONNX)
• Inference runtimes : ONNX Runtime, TensorRT, ROCm / HIP
• Toolchains and compilers like TVM, XLA, Vitis AI, XDNA
• Kernel execution, memory transfer, and result validation
• Profile ML workloads and optimize for performance.
• Work on validation plans across software lifecycle stages.
• Collaborate with cross-functional and global teams on end-to-end AI / ML pipeline validation.

Required Skills

• Strong hands-on experience with Linux (Ubuntu) and Yocto.
• Solid understanding of machine learning concepts : deep learning, LLMs, recommender systems.
• Proficiency with Python programming.
• Experience in ML frameworks : PyTorch, TensorFlow, ONNX Runtime.
• Experience profiling AI / ML workloads.
• Prior exposure to GPU / Accelerator validation stacks (HIP, CUDA, OpenCL, OpenVINO).
• Familiarity with production-level QA methodologies and defect lifecycle management.
• Excellent analytical and problem-solving skills.
• Strong communication skills and sense of ownership.

(ref : hirist.tech)

Skills Required

Cuda, Linux Ubuntu, Tensorflow, hip, Yocto, Pytorch, Python Programming, Opencl