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AI Engineer Model Optimization & Acceleration

Advanced Micro Devices
Posted on
Advanced Micro Devices logo

Experience
2 - 5 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
AI Engineer
Job Type
ONSITE

Job Description

Seeking an AI Engineer to optimize and deploy ML models across heterogeneous platforms (CPU, GPU, NPU).
Work on scalable, production-ready AI systems across domains like robotics, healthcare, and automotive.
Key Responsibilities
  • Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech
  • Port models across frameworks (e.g., PyTorch ONNX runtimes)
  • Deploy on hardware accelerators (GPU/NPU) and optimize performance
  • Improve inference latency, throughput, and memory (batching, caching, parallelism, fusion)
  • Apply quantization and model compression (FP32 lower precision)
  • Profile and debug system and model performance
Required Skills
  • Strong in PyTorch (or similar), ONNX (or equivalent)
  • Proficient in Python and C++
  • Experience with GPU/hardware acceleration (CUDA/ROCm or similar)
  • Solid understanding of deep learning models (transformers, CNNs)
  • Knowledge of optimization, quantization, and performance tuning
Good to Have
  • Edge AI or embedded deployment
  • Generative or multi-modal AI systems
  • Distributed inference or streaming pipelines
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.