Artificial Intelligence Model Validation Specialist
1 week ago
Job Overview
The role of the AI/ML Validation Engineer is to ensure the accuracy, reliability, and consistency of our artificial intelligence and machine learning models. This involves validating our AI pipelines, model conversion, inference runtimes, compilers/toolchains, kernel execution, memory transfer, and inference results.
Main Responsibilities:
- Validate end-to-end AI pipelines, including model conversion, inference runtimes, compilers/toolchains, kernel execution, memory transfer, and inference results
- Execute validation plans for AI/ML compute stacks, such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, and TensorFlow/PyTorch integrations
- Develop and maintain strong knowledge of machine learning fundamentals, including deep learning, large language models, and recommender systems
- Profiling ML workloads and identifying areas for improvement
- Strong background in python programming and experience with production software quality assurance practices, methodologies, and procedures
Key Requirements:
- 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
- Excellent problem-solving skills and willingness to think outside the box
- Strong ownership of deliverables, Excellent communication skills and experience working with global teams
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