AI ML performance test engineer

3 - 7 years

10 - 15 Lacs

Posted:None| Platform: Naukri logo

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Job Description


About The Role
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.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.

  • 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.

  • 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.

  • Educational Qualification
  • Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field.
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