Optimize and compress large language and vision models for on-device inference. Develop distillation and hardware-specific compilation pipelines, deploy models to edge devices, and benchmark performance across NPU/GPU architectures to ensure efficient on-device operation.
We are looking for an AI Specialist Engineer to enhance the performance of large language and vision models for on-device inference. Your expertise will be crucial in developing and deploying cutting-edge AI solutions, ensuring optimal efficiency across diverse hardware architectures.
Responsibilities:
- Compress and optimize large language and vision models for on-device inference.
- Develop pipelines for model distillation and hardware-specific compilation.
- Benchmark performance across various NPU/GPU architectures.
Qualifications:
- Expertise in model distillation, pruning, and 4-bit/8-bit quantization techniques.
- Hands-on experience with TensorRT, ONNX Runtime, and edge deployment.
- Strong C++ and Python skills.
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Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
