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AI Model Optimization Specialist
2 weeks ago
Job Overview
We are seeking a skilled AI Engineer to contribute to the development of cutting-edge AI models and solutions for deployment on edge hardware devices.
This role focuses on optimizing AI performance, leveraging techniques such as quantization, pruning, and benchmarking to create efficient and effective AI solutions.
Key Responsibilities:
- Develop and optimize AI models for deployment on constrained edge hardware.
- Implement and utilize techniques such as quantization, pruning, and hardware-specific optimizations to improve performance.
- Contribute to hardware benchmarking efforts to evaluate model performance and resource usage.
- Collaborate with hardware and software teams to ensure seamless integration of AI solutions into various platforms.
- Participate in the development and implementation of scalable, reusable AI building blocks for edge applications.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of industry experience in AI/ML model development, optimization, and deployment.
- Strong expertise in AI model optimization techniques, including quantization, pruning, and benchmarking for edge hardware.
- Hands-on experience with transformer models and their deployment on embedded or constrained platforms.
- Proficiency in Python and C++ for AI model development and integration.
- Experience with AI frameworks such as TensorFlow, PyTorch, or ONNX, and their optimization for hardware targets.
- Familiarity with hardware platforms, including CPUs, NPUs, and accelerators.