AI ML performance test engineer Capgemini

0.0 years

0 Lacs

bengaluru, karnataka, india

On-site

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. 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 Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

Posted 1 week ago

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