AI Engineer
Develop and deploy AI models and quantization methods for edge and cloud hardware. The role focuses on model accuracy, hardware-aware tools, and emerging AI architectures.
Responsibilities
- Explore and plan end-to-end network deployment on company hardware.
- Measure and improve network accuracy.
- Develop a hardware-aware quantization tool for a graph compiler.
- Research generative AI architectures and develop expertise in their underlying algorithms.
Requirements
- Bachelor’s or master’s degree in engineering, computer science, or a related technical field.
- 3–4 years of experience as a Python developer.
- Experience with PyTorch and evaluating and running machine-learning models.
- Knowledge of common AI model architectures.
- Proficiency with AI tools and sound testing practices.
Nice to have
- Experience with large language models.
- Experience with network quantization methods.
- Experience with Hugging Face, PyTest, and Jenkins.