
AI/ML Validation Engineer
6 days ago
- Experience : 3 to 6 Years
- Notice Period : Immediate or Less than 1 Month
- Location : Bangalore
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.
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