AI ML Test Engineer
4 weeks ago
Job Description
We are seeking a highly skilled AI/ML Validation Engineer with a strong foundation in machine learning, deep learning, and system-level validation. The ideal candidate will have hands-on experience with ML frameworks, profiling tools, and AI compute stacks, and will play a key role in validating end-to-end AI pipelines and ensuring software quality across diverse platforms.
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Responsibilities
- Design and execute validation plans for AI/ML compute stacks (HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, TensorFlow, PyTorch).
- Validate end-to-end AI pipelines including model conversion, inference runtimes, compilers/toolchains, kernel execution, and memory transfer.
- Profile ML workloads and optimize performance across platforms.
- Collaborate with global teams to ensure high-quality deliverables.
- Apply software development lifecycle practices to validation workflows.
- Document defects, validation results, and improvement recommendations.
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Primary Skills
- Strong knowledge of ML fundamentals, deep learning, LLMs, and recommender systems.
- Proficiency in Python programming.
- Experience with PyTorch, TensorFlow, ONNX Runtime.
- Familiarity with Ubuntu/Yocto Linux environments.
- Expertise in profiling tools and performance analysis.
- Strong understanding of software QA methodologies.
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Secondary Skills
- Experience with compilers/toolchains like TVM, Vitis AI, XDNA, XLA.
- Exposure to production-grade software validation workflows.
- Excellent problem-solving and communication skills.
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Educational Qualification
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
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