AI / ML Validation Engineer

Required Skills

• Strong background in machine learning fundamentals, including deep learning, large language models, and recommender systems.
• Strong background in validation, defect and software development life cycle
• 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

(ref : hirist.tech)

Skills Required

Tensorflow, Deep Learning, Pytorch, Python Programming, Validation, toolchains , Ubuntu, Cuda, hip, Recommender Systems, Opencl